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Πωλήσεις / Marketing / Εμπόριο Λιανικής

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Άλλο

Ανθρώπινο Δυναμικό / HR

Κατασκευαστικός Κλάδος / Τεχνικά Επαγγέλματα

Αποθήκη / Logistics

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Γραμματειακή Υποστήριξη

Επαγγέλματα Υγείας

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Τουρισμός / Ξενοδοχεία

Δημοσιογραφία / ΜΜΕ

Προσωπικό Ασφαλείας

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Headquartered in Monaco, our client has been investing in and operating shipping assets since 1926. Our client is a leading service provider engaged in the seaborne transportation of commodities. The Group has experience investing in crude oil and product tankers, gas, dry bulk, containers as well as offshore oil and wind. With fourteen different offices located all around the world, and a shore workforce of nearly 1,000 employees, our client is a fast-growing, fast-paced and stimulating work environment. Our client’s core values are Integrity, Collaboration, Stewardship and Moxie.
SQL – Development Experience:
• Minimum 5 years of experience as BI developer with Microsoft tools and technologies (MS BI)
• Excellent Data Analysis skill.
• IT experience in working with T-SQL and Development on Microsoft SQL Server database 2016 onwards.
• Experience with T-SQL in constructing Tables, implementing stored Procedures, Functions, Views, etc.
• Expert in working with database jobs, ETL scheduling etc.
• Experience in working with Cloud platform like Azure, AWS or GCP would be added advantage.
SSAS – Development Experience:
• Hands on experience on Analysis Services (SSAS), and Visual Studio.
• Experience in Designing and Building the Dimensions and cubes with star schema using SQL Server Analysis Services (SSAS).
• Deploy and processed SSAS cubes using SQL Server Agent.
• Hands on experience of developing model in SSAS Cubes.
• Experience in developing DAX in SSAS.
• Good in depth understanding of different type of relationships and data modelling.
SSIS – Development Experience:
• Experienced in using ETL tools in (SSIS) 2019/2016.
• Experience in Extracting, Transforming and Loading (ETL) data from Excel, Flat file, Oracle to MS SQL Server by using BCP utility, DTS and SSIS services.
• Data Loading Experience in SQL Server using SSIS ETL and Experience in developing packages in SSIS and DTS according to task.
• Data analysis and data migration by transferring them using SSIS packages.
• Additional experience of working with ADF pipelines would be plus.
Power BI Experience:
• Developed Power BI model used for financial reporting of P & L and Headcount.
• Designed and documented the entire Architecture of Power BI.
• Expertise in writing complex DAX functions in Power BI.
• Used various sources to pull data into Power BI such as SQL Server, SQL Azure etc…
• Created content pack and allow access to the end user.
• Created Workspace and content packs for business users to view the developed reports.
• Scheduled Automatic refresh and scheduling refresh in power bi service.
• Write calculated columns, Measures queries in power bi desktop to show good data analysis techniques.
• Weekly presentation to the business users about the reports and their changes as required.
• Worked on all types of transformations that are available in Power bi query editor.

Headquartered in Monaco,&nbsp;our client&nbsp;has been investing in and operating shipping assets since 1926. Our client is a leading service provider engaged in the seaborne transportation of commodities. The Group has experience investing in crude oil and product tankers, gas, dry bulk, containers as well as offshore oil and wind. With fourteen different offices located all around the world, and a shore workforce of nearly 1,000 employees, our client is a fast-growing, fast-paced and stimulating work environment. Our client’s core values are Integrity, Collaboration, Stewardship and Moxie.SQL – Development Experience:• Minimum 5 years of experience as BI developer with Microsoft tools and technologies (MS BI)• Excellent Data Analysis skill.• IT experience in working with T-SQL and Development on Microsoft SQL Server database 2016 onwards.• Experience with T-SQL in constructing Tables, implementing stored Procedures, Functions, Views, etc.• Expert in working with database jobs, ETL scheduling etc.• Experience in working with Cloud platform like Azure, AWS or GCP would be added advantage.SSAS – Development Experience:• Hands on experience on Analysis Services (SSAS), and Visual Studio.• Experience in Designing and Building the Dimensions and cubes with star schema using SQL Server Analysis Services (SSAS).• Deploy and processed SSAS cubes using SQL Server Agent.• Hands on experience of developing model in SSAS Cubes.• Experience in developing DAX in SSAS.• Good in depth understanding of different type of relationships and data modelling.SSIS – Development Experience:• Experienced in using ETL tools in (SSIS) 2019/2016.• Experience in Extracting, Transforming and Loading (ETL) data from Excel, Flat file, Oracle to MS SQL Server by using BCP utility, DTS and SSIS services.• Data Loading Experience in SQL Server using SSIS ETL and Experience in developing packages in SSIS and DTS according to task.• Data analysis and data migration by transferring them using SSIS packages.• Additional experience of working with ADF pipelines would be plus.Power BI Experience:• Developed Power BI model used for financial reporting of P &amp; L and Headcount.• Designed and documented the entire Architecture of Power BI.• Expertise in writing complex DAX functions in Power BI.• Used various sources to pull data into Power BI such as SQL Server, SQL Azure etc…• Created content pack and allow access to the end user.• Created Workspace and content packs for business users to view the developed reports.• Scheduled Automatic refresh and scheduling refresh in power bi service.• Write calculated columns, Measures queries in power bi desktop to show good data analysis techniques.• Weekly presentation to the business users about the reports and their changes as required.• Worked on all types of transformations that are available in Power bi query editor.

BI Developer

Pfizer’s AI, Data and Advanced Analytics (AIDA) mission is to accelerate, elevate, and scale AI/ML across Pfizer to drive significant business value through evidence-based,
data-driven decision-making. The Intelligent Assistant Solutions (IAS) Team within AIDA, builds deliver and maintain solutions, products & platforms that provide breakthrough digital capabilities to solve business and healthcare challenges for internal business partners and external customers. The team applies advanced AI, Generative AI, Machine Learning (ML), Natural Language Processing (NLP), software engineering and Cloud first technology and solution patterns at an enterprise and global scale that positively impact Pfizer business performance.
IAS Team seeks a Senior Manager, AI Engineering Lead who will be responsible for leading a team and service focused on executing on the technical strategies, architecture, system designs and solutions development to enable applications to embed AI anywhere it can enrich applications and products. This position requires a blend of expertise across Enterprise AI/ML Strategy, Design, Build, Testing, Operation, Governance, Micro-Service Architecture Solutions, GxP Processes, Audit, Change & Release Management, Cloud Technologies, Cross Functional Partnership, and Leadership, along with in-depth latest cutting-edge Artificial Intelligence engineering technology expertise.
ROLE RESPONSIBILITIES
The Senior Manager, AI Engineering Lead responsibilities include but are not limited to:
The candidate is responsible for delivering the technical and architecture strategies and micro-services roadmaps for solutions and products across Intelligent Assistance Solution portfolio.
Ensure quality software is delivered on time within a fast paced agile environment.
Foster a culture of continuous improvements across the CI/CD environment.
Monitor program progress, eliminate technical barriers, and ensure effectively deliver the solutions to add values to our business customers.
Integrate and collaborate with different technical teams across Digital, to drive overall service implementation and delivery methodologies.
The candidate should be insight-driven, experience/design-driven, value-driven and solution-driven.
Contribute to the process required to identify and evaluate intelligent micro-services and platforms that can be complimented and scaled across DSE organization.
Support day-to-day implementation needs and lead issue investigation and resolution.
Act as a thought leader on emerging digital technologies for the team and other digital teams
Develop and implement process improvements, enforcement of adherence to standards across the organization and compliance with industry regulations.
Someone who can manage and guide a team of colleagues and contractors along with the Portfolio of work effectively.
Collaborate with key stakeholders across Pfizer Digital and Strategic Partners.
​BASIC QUALIFICATIONS
BSc degree is required. An advanced degree would be a plus.
7+ years of experience deploying enterprise software solutions with at least 5 years of experience with AI/ML based platforms and applications.
3+ years of experience deploying projects for life science or pharmaceutical business practices in the areas of R&D and Commercial.
7+ Years of managing technical and software development teams.
7+ Experience working in close partnership with data science teams.
5+ years of experience in usage of micro-services design patterns.
Knowledge of tools and methods required to deploy ML/AI models and applications to production (MLFlow, Kubeflow, etc).
Strong working knowledge and experience using Python including the following frameworks/tools: Pyspark, Tensorflow, Keras, PyTorch.
Experience building and managing production services using Docker.
Proficient understanding of code versioning tools such as Git.
Experience with database systems including one or more of the RDBMS (Redshift, MySQL, PostgreSQL, Oracle, SQL Server 2012 &above).
Has owned systems and managed development of end-to-end applications.
Has experience with production deployments of complex systems.
Experience with an industry accepted, structured software development life cycle methodology.
Experience supporting the development of complex software products including the deployment of multiple versions / releases of a large product.
Ability to contribute to technical specifications and technical design documentation for the software development team.
Experience working in teams to address software defect analysis, troubleshooting, and resolution.
Proven ability in performance testing and optimization of developed source code for an enterprise business application.
Proven ability to work collaboratively with the software development team while driving software improvements.
Ability to prepare and present concepts and vision (written and verbal) to the software development team, senior management, and other internal and external stakeholders.
Candidate must be an excellent communicator.
GENERAL SKILLS REQUIREMENTS
Advisor/Consultancy: Provides well-informed advice, typically within a specific technical specialization,
ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities. Provides advice on technical aspects of Conversational UI and ensures that relevant technical strategies, policies, standards and practices are applied correctly.
Technical Acumen: Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks.
Thought Leadership & Advocacy: Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI and Conversational UI
Presentation Skills: Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholders
Please apply by sending your CV and a motivational letter in English.
Work Location Assignment: Hybrid

Pfizer’s AI, Data and Advanced Analytics (AIDA) mission is to accelerate, elevate, and scale AI/ML across Pfizer to drive significant business value through evidence-based,data-driven decision-making.&nbsp;The Intelligent Assistant Solutions (IAS) Team within AIDA, builds deliver and maintain solutions, products &amp; platforms that provide breakthrough digital capabilities to solve business and healthcare challenges for internal business partners and external customers.&nbsp;The team applies advanced AI, Generative AI, Machine Learning (ML), Natural Language Processing (NLP), software engineering and Cloud first technology and solution patterns at an enterprise and global scale that positively impact Pfizer business performance.IAS Team seeks a Senior Manager, AI Engineering Lead who will be responsible for leading a team and service focused on executing on the technical strategies, architecture, system designs and solutions development to enable applications to embed AI anywhere it can enrich applications and products.&nbsp;This position requires a blend of expertise across Enterprise AI/ML Strategy, Design, Build, Testing, Operation, Governance, Micro-Service Architecture Solutions, GxP Processes, Audit, Change &amp; Release Management, Cloud Technologies, Cross Functional Partnership, and Leadership, along with in-depth latest cutting-edge Artificial Intelligence engineering technology expertise.ROLE RESPONSIBILITIESThe Senior Manager, AI Engineering Lead responsibilities include but are not limited to:<ul><li>The candidate is responsible for delivering the technical and architecture strategies and micro-services roadmaps for solutions and products across Intelligent Assistance Solution portfolio.</li><li>Ensure quality software is delivered on time within a fast paced agile environment.</li><li>Foster a culture of continuous improvements across the CI/CD environment.</li><li>Monitor program progress, eliminate technical barriers, and ensure effectively deliver the solutions to add values to our business customers.</li><li>Integrate and collaborate with different technical teams across Digital, to drive overall service implementation and delivery methodologies.</li><li>The candidate should be insight-driven, experience/design-driven, value-driven and solution-driven.</li><li>Contribute to the process required to identify and evaluate intelligent micro-services and platforms that can be complimented and scaled across DSE organization.</li><li>Support day-to-day implementation needs and lead issue investigation and resolution.</li><li>Act as a thought leader on emerging digital technologies for the team and other digital teams</li><li>Develop and implement process improvements, enforcement of adherence to standards across the organization and compliance with industry regulations.</li><li>Someone who can manage and guide a team of colleagues and contractors along with the Portfolio of work effectively.</li><li>Collaborate with key stakeholders across Pfizer Digital and Strategic Partners.</li></ul>​BASIC QUALIFICATIONS<ul><li>BSc degree is required. An advanced degree would be a plus.</li><li>7+ years of experience deploying enterprise software solutions with at least 5 years of experience with AI/ML based platforms and applications.</li><li>3+ years of experience deploying projects for life science or pharmaceutical business practices in the areas of R&amp;D and Commercial.</li><li>7+ Years of managing technical and software development teams.</li><li>7+ Experience working in close partnership with data science teams.</li><li>5+ years of experience in usage of micro-services design patterns.</li><li>Knowledge of tools and methods required to deploy ML/AI models and applications to production (MLFlow, Kubeflow, etc).</li><li>Strong working knowledge and experience using Python including the following frameworks/tools: Pyspark, Tensorflow, Keras, PyTorch.</li><li>Experience building and managing production services using Docker.</li><li>Proficient understanding of code versioning tools such as Git.</li><li>Experience with database systems including one or more of the RDBMS (Redshift, MySQL, PostgreSQL, Oracle, SQL Server 2012 &amp;above).</li><li>Has owned systems and managed development of end-to-end applications.</li><li>Has experience with production deployments of complex systems.</li><li>Experience with an industry accepted, structured software development life cycle methodology.</li><li>Experience supporting the development of complex software products including the deployment of multiple versions / releases of a large product.</li><li>Ability to contribute to technical specifications and technical design documentation for the software development team.</li><li>Experience working in teams to address software defect analysis, troubleshooting, and resolution.</li><li>Proven ability in performance testing and optimization of developed source code for an enterprise business application.</li><li>Proven ability to work collaboratively with the software development team while driving software improvements.</li><li>Ability to prepare and present concepts and vision (written and verbal) to the software development team, senior management, and other internal and external stakeholders.</li><li>Candidate must be an excellent communicator.</li></ul>GENERAL SKILLS REQUIREMENTS<ul><li>Advisor/Consultancy:&nbsp;Provides well-informed advice, typically within a specific technical specialization,</li><li>ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities.&nbsp;Provides advice on technical aspects of Conversational UI and ensures that relevant technical strategies, policies, standards and practices are applied correctly.</li><li>Technical Acumen:&nbsp;Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks.</li><li>Thought Leadership &amp; Advocacy:&nbsp;Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI and Conversational UI</li><li>Presentation Skills:&nbsp;Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholders</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

1405 – Senior Manager, AI Engineering Lead

The Senior, AI and DataOps Product Manager within the R&D AI, Data, & Analytics (AIDA) team at Pfizer Digital is a leadership role responsible for driving the strategy, technical delivery, and execution of projects to support Pfizer’s AIDA R&D objectives. This includes: establishing an integrated roadmap for foundational data products in collaboration with the others across the business and Digital teams; Developing and maintaining strong relationships with relevant stakeholders to ensure the Technical product roadmap delivers set vision and metrics are aligned with the overall business strategy.
The Senior, AI and DataOps Product Manager responsibilities include participating in planning, defining, and high-level designing of solutions to achieve the business and digital objectives. Additionally, they are expected to exploring alternative solutions when existing technology falls short of meeting business needs and developing business cases, socializing, and securing funding to ensure continuous progress.
The Senior, AI and DataOps Product Manager will continually refines and maintain a prioritized roadmap of DataOps products while leading a multi-disciplinary team to create and deliver AI and data product solutions. This requires strong decision-making, team leadership, data product management, human centered design and agile delivery expertise. This role is involved at every phase of a product lifecycle ensuring the successful realization of the vision.
The Senior, AI and DataOps Product Manager will also be responsible for managing budget, resources and vendors related to the DataOps product portfolio they are responsible for. The successful candidate for this role will have a deep technical understanding of AI and data product management discipline, agile delivery and change management, with a proven track record of delivering impactful solutions in a complex organizational environment. This role will be reporting to the Senior Director AI and Data Solutions Engineering.
Strategy and Product Management
Create shared vision and strategy for foundational technical capabilities which enable Clinical Development Operations data aggregation and report to achieve R&D domain business strategy and goals.
Responsible for the overall delivery, vision and metrics for the foundational Data Product capabilities.
Build and maintain integrated product roadmap, prioritizing features based on value & feasibility to achieve business strategy and goals.
Participate in planning, defining, and high-level designing of solutions and explore solution alternatives if current technology does not suit business needs.
Communicate and ensure transparency to the Foundational product vision, strategy, and results to senior management and business partners.
Provides oversight and optimize delivery for contractors and managed services.
Manages foundational data product expectations & drives adoption within the organization.
Work with cross-functional teams of engineers and designers to deliver user-centric products.
Apply user-centered design principles and practices in the product development lifecycle.
Exercise strong decision-making mandate across cross-functional teams.
Drive products to achieve success metrics on an ongoing basis throughout the product lifecycle by analyzing and solving the problems of your targeted end users.
Collaborate with leaders and teams across the portfolio to ensure successful market launch and continuous improvement across the product lifecycle.
Oversee creation of user stories/specs and data analysis to justify product decisions and apply key learnings.
Create and deliver presentations and manage stakeholder expectations.
Delivery
Lead multi-disciplinary team responsible for AI and data foundational product delivery ensuring high quality, timely, and impactful results.
Provide leadership and guidance for agile / iterative delivery of data products.
Provide Technical and functional delivery oversight ensuring high delivery quality.
Manage data product expectations.
Drive change management and adoption of data product usage.
Leadership
Foster a culture of creativity, curiosity, inclusion, and excellence.
Set, articulate, and drive the team to deliver against integrated product roadmap through shared understanding of strategy and delivery plan.
Effective communicator and presenter.
Ability to empower team members to make decisions and foster an environment of shared understanding, ownership and accountability.
Effective at adapting to shifting circumstances and business environment, creating and team environment that easily adapts to change with continued productivity and high morale.
Manage part of a within a shared budget and execute contracts.
BASIC QUALIFICATIONS
Bachelor’s degree in computer science, Engineering, Business, or a related discipline.
7+ years of product management experience, with pharmaceutical or healthcare experience a strong plus.
3+ years of leading technical delivery as part of a multi-disciplinary team.
Experience successfully creating and executing against product visions, strategies, and roadmaps that achieve goals and outcomes.
Exceptional at working with and analyzing user metrics and turning them into actionable insights, including the use of A/B testing and analytics platforms.
A curious and highly motivated self-starter who can work effectively across cross-functional teams and can independently drive progress toward completion with proper planning and management.
Passion for delivering foundational, user-centric technical solutions.
Agile/Lean Development knowledge, training or experience.
A strong communicator with great written and verbal skills.
Up to date and knowledgeable about the latest trends, innovations and best practices in the digital space.
Strong understand of cloud native Data solutions such as Snowflake, Databricks, Collibra and Reltio.
PREFERRED QUALIFICATIONS
MBA or Master’s degree in strategy, management, or related field is a plus.
Certification in Agile and Scrum development practices is a plus.
Experience in technical product delivery, product design and data & analytics.
Experience in Clinical Data Operations technical delivery including compliance requirements for GXP.
Please apply by sending your CV and a motivational letter in English.
Work Location Assignment: Hybrid

The Senior, AI and DataOps Product Manager within the R&amp;D AI, Data, &amp; Analytics (AIDA) team at Pfizer Digital is a leadership role responsible for driving the strategy, technical delivery, and execution of projects to support Pfizer’s AIDA R&amp;D objectives. This includes: establishing an integrated roadmap for foundational data products in collaboration with the others across the business and Digital teams; Developing and maintaining strong relationships with relevant stakeholders to ensure the Technical product roadmap delivers set vision and metrics are aligned with the overall business strategy.The Senior, AI and DataOps Product Manager responsibilities include participating in planning, defining, and high-level designing of solutions to achieve the business and digital objectives. Additionally, they are expected to exploring alternative solutions when existing technology falls short of meeting business needs and developing business cases, socializing, and securing funding to ensure continuous progress.The Senior, AI and DataOps Product Manager will continually refines and maintain a prioritized roadmap of DataOps products while leading a multi-disciplinary team to create and deliver AI and data product solutions. This requires strong decision-making, team leadership, data product management, human centered design and agile delivery expertise. This role is involved at every phase of a product lifecycle ensuring the successful realization of the vision.The Senior, AI and DataOps Product Manager will also be responsible for managing budget, resources and vendors related to the DataOps product portfolio they are responsible for.&nbsp;The successful candidate for this role will have a deep technical understanding of AI and data product management discipline, agile delivery and change management, with a proven track record of delivering impactful solutions in a complex organizational environment. This role will be reporting to the Senior Director AI and Data Solutions Engineering.Strategy and Product Management<ul><li>Create shared vision and strategy for foundational technical capabilities which enable Clinical Development Operations data aggregation and report to achieve R&amp;D domain business strategy and goals.</li><li>Responsible for the overall delivery, vision and metrics for the foundational Data Product capabilities.</li><li>Build and maintain integrated product roadmap, prioritizing features based on value &amp; feasibility to achieve business strategy and goals.</li><li>Participate in planning, defining, and high-level designing of solutions and explore solution alternatives if current technology does not suit business needs.</li><li>Communicate and ensure transparency to the Foundational product vision, strategy, and results to senior management and business partners.</li><li>Provides oversight and optimize delivery for contractors and managed services.</li><li>Manages foundational data product expectations &amp; drives adoption within the organization.</li><li>Work with cross-functional teams of engineers and designers to deliver user-centric products.</li><li>Apply user-centered design principles and practices in the product development lifecycle.</li><li>Exercise strong decision-making mandate across cross-functional teams.</li><li>Drive products to achieve success metrics on an ongoing basis throughout the product lifecycle by analyzing and solving the problems of your targeted end users.</li><li>Collaborate with leaders and teams across the portfolio to ensure successful market launch and continuous improvement across the product lifecycle.</li><li>Oversee creation of user stories/specs and data analysis to justify product decisions and apply key learnings.</li><li>Create and deliver presentations and manage stakeholder expectations.</li></ul>Delivery<ul><li>Lead multi-disciplinary team responsible for AI and data foundational product delivery ensuring high quality, timely, and impactful results.</li><li>Provide leadership and guidance for agile / iterative delivery of data products.</li><li>Provide Technical and functional delivery oversight ensuring high delivery quality.</li><li>Manage data product expectations.</li><li>Drive change management and adoption of data product usage.</li></ul>Leadership<ul><li>Foster a culture of creativity, curiosity, inclusion, and excellence.</li><li>Set, articulate, and drive the team to deliver against integrated product roadmap through shared understanding of strategy and delivery plan.</li><li>Effective communicator and presenter.</li><li>Ability to empower team members to make decisions and foster an environment of shared understanding, ownership and accountability.</li><li>Effective at adapting to shifting circumstances and business environment, creating and team environment that easily adapts to change with continued productivity and high morale.</li><li>Manage part of a within a shared budget and execute contracts.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in computer science, Engineering, Business, or a related discipline.</li><li>7+ years of product management experience, with pharmaceutical or healthcare experience a strong plus.</li><li>3+ years of leading technical delivery as part of a multi-disciplinary team.</li><li>Experience successfully creating and executing against product visions, strategies, and roadmaps that achieve goals and outcomes.</li><li>Exceptional at working with and analyzing user metrics and turning them into actionable insights, including the use of A/B testing and analytics platforms.</li><li>A curious and highly motivated self-starter who can work effectively across cross-functional teams and can independently drive progress toward completion with proper planning and management.</li><li>Passion for delivering foundational, user-centric technical solutions.</li><li>Agile/Lean Development knowledge, training or experience.</li><li>A strong communicator with great written and verbal skills.</li><li>Up to date and knowledgeable about the latest trends, innovations and best practices in the digital space.</li><li>Strong understand of cloud native Data solutions such as Snowflake, Databricks, Collibra and Reltio.</li></ul>PREFERRED QUALIFICATIONS<ul><li>MBA or Master’s degree in strategy, management, or related field is a plus.</li><li>Certification in Agile and Scrum development practices is a plus.</li><li>Experience in technical product delivery, product design and data &amp; analytics.</li><li>Experience in Clinical Data Operations technical delivery including compliance requirements for GXP.</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

1404 – Senior, AI and DataOps Product Manager

Do you want to make a global impact on patient health? Join our client’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Their team is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team leads engineering efforts to advance AI and data science applications from POCs and prototypes to full production.
As a Senior Manager, AI and Analytics Data Engineer, you will be part of a global team responsible for designing, developing, and implementing robust data layers that support data scientists and key advanced analytics/AI/ML business solutions. You will partner with cross-functional data scientists and Digital leaders to ensure efficient and reliable data flow across the organization. You will lead development of data solutions to support their data science community and drive data-centric decision-making.
Join their diverse team in making an impact on patient health through the application of cutting-edge technology and collaboration.
ROLE RESPONSIBILITIES
Lead development of data engineering processes to support data scientists and analytics/AI solutions, ensuring data quality, reliability, and efficiency
As a data engineering tech lead, enforce best practices, standards, and documentation to ensure consistency and scalability, and facilitate related trainings
Provide strategic and technical input on the AI ecosystem including platform evolution, vendor scan, and new capability development
Act as a subject matter expert for data engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for data engineering needs
Train and guide junior developers on concepts such as data modeling, database architecture, data pipeline management, data ops and automation, tools, and best practices
Stay updated with the latest advancements in data engineering technologies and tools and evaluate their applicability for improving their data engineering capabilities
Direct data engineering research to advance design and development capabilities
Collaborate with stakeholders to understand data requirements and address them with data solutions
Partner with the AIDA Data and Platforms teams to enforce best practices for data engineering and data solutions
Demonstrate a proactive approach to identifying and resolving potential system issues
Communicate the value of reusable data components to end-user functions (e.g., Commercial, Research and Development, and Global Supply) and promote innovative, scalable data engineering approaches to accelerate data science and AI work
BASIC QUALIFICATIONS
Bachelor’s degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of hands-on experience in working with SQL, Python, object-oriented scripting languages (e.g. Java, C++, etc..) in building data pipelines and processes. Proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views
Recognized by peers as an expert in data engineering with deep expertise in data modeling, data governance, and data pipeline management principles
In-depth knowledge of modern data engineering frameworks and tools such as Snowflake, Redshift, Spark, Airflow, Hadoop, Kafka, and related technologies
Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.)
Familiarity with machine learning and AI technologies and their integration with data engineering pipelines
Demonstrated experience interfacing with internal and external teams to develop innovative data solutions
Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP)
Highly self-motivated to deliver both independently and with strong team collaboration
Ability to creatively take on new challenges and work outside comfort zone
Strong English communication skills (written & verbal)
PREFERRED QUALIFICATIONS
Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required)
Experience in software/product engineering
Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms
Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes.
Experience working effectively in a distributed remote team environment
Hands on experience working in Agile teams, processes, and practices
Expertise in cloud platforms such as AWS, Azure or GCP
Proficiency in using version control systems like Git
Pharma & Life Science commercial functional knowledge
Pharma & Life Science commercial data literacy
Please apply by sending your CV and a motivational letter in English.
Work Location Assignment: Hybrid

Do you want to make a global impact on patient health? Join&nbsp;our client’s&nbsp;Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Their team is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team leads engineering efforts to advance AI and data science applications from POCs and prototypes to full production.As a Senior Manager, AI and Analytics Data Engineer, you will be part of a global team responsible for designing, developing, and implementing robust data layers that support data scientists and key advanced analytics/AI/ML business solutions. You will partner with cross-functional data scientists and Digital leaders to ensure efficient and reliable data flow across the organization. You will lead development of data solutions to support their data science community and drive data-centric decision-making.Join their diverse team in making an impact on patient health through the application of cutting-edge technology and collaboration.ROLE RESPONSIBILITIES<ul><li>Lead development of data engineering processes to support data scientists and analytics/AI solutions, ensuring data quality, reliability, and efficiency</li><li>As a data engineering tech lead, enforce best practices, standards, and documentation to ensure consistency and scalability, and facilitate related trainings</li><li>Provide strategic and technical input on the AI ecosystem including platform evolution, vendor scan, and new capability development</li><li>Act as a subject matter expert for data engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for data engineering needs</li><li>Train and guide junior developers on concepts such as data modeling, database architecture, data pipeline management, data ops and automation, tools, and best practices</li><li>Stay updated with the latest advancements in data engineering technologies and tools and evaluate their applicability for improving their data engineering capabilities</li><li>Direct data engineering research to advance design and development capabilities</li><li>Collaborate with stakeholders to understand data requirements and address them with data solutions</li><li>Partner with the AIDA Data and Platforms teams to enforce best practices for data engineering and data solutions</li><li>Demonstrate a proactive approach to identifying and resolving potential system issues</li><li>Communicate the value of reusable data components to end-user functions (e.g., Commercial, Research and Development, and Global Supply) and promote innovative, scalable data engineering approaches to accelerate data science and AI work</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)</li><li>7+ years of hands-on experience in working with SQL, Python, object-oriented scripting languages (e.g. Java, C++, etc..)&nbsp;in building data pipelines and processes.&nbsp;Proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views</li><li>Recognized by peers as an expert in data engineering with deep expertise in data modeling, data governance, and data pipeline management principles</li><li>In-depth knowledge of modern data engineering frameworks and tools such as Snowflake, Redshift, Spark, Airflow, Hadoop, Kafka, and related technologies</li><li>Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.)</li><li>Familiarity with machine learning and AI technologies and their integration with data engineering pipelines</li><li>Demonstrated experience interfacing with internal and external teams to develop innovative data solutions</li><li>Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP)</li><li>Highly self-motivated to deliver both independently and with strong team collaboration</li><li>Ability to creatively take on new challenges and work outside comfort zone</li><li>Strong English communication skills (written &amp; verbal)</li></ul>PREFERRED QUALIFICATIONS<ul><li>Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required)</li><li>Experience in software/product engineering</li><li>Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms</li><li>Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes.</li><li>Experience working effectively in a distributed remote team environment</li><li>Hands on experience working in Agile teams, processes, and practices</li><li>Expertise in cloud platforms such as AWS, Azure or GCP</li><li>Proficiency in using version control systems like Git</li><li>Pharma &amp; Life Science commercial functional knowledge</li><li>Pharma &amp; Life Science commercial data literacy</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

1403 – Senior Manager, AI and Analytics Data Engineer

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join our client’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Their team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.
As a Director, AI and Analytics Full Stack Engineering Lead, you will lead a team of full stack engineers and developers. Your team will partner with cross-functional data scientists and Digital leaders to accelerate the development of enterprise data science and AI applications by iteratively developing and continuously improving data science workflows, AI based software solutions, and AI components.
Join them in making an impact on patient health through the application of cutting-edge technology and collaboration with a diverse team.
Role Responsibilities
Provide leadership, supervision, and mentorship for a regional team of full stack developers and engineers to drive the technical direction, identify performance metrics, and measure success of their products.
Coach direct reports to adopt best practices, improve technical skills, develop an innovative mindset, and achieve professional growth through technical and organizational thought leadership.
Partner with Data Science Industrialization leaders to define team roadmap and provide strategic and technical input on platform evolution, vendor scan, and new capability development.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for impactful solutions.
Lead development work streams by providing expertise, thought leadership, and embodying best practices to drive technical and strategic objectives.
Design and lead the delivery of end-to-end data science and AI products and reusable components including overseeing data ETL pipelines, server-side logic, ML engineering, frontend development, visualization, IaC, and CI/CD deployment.
Implement logging and monitoring tools to gain insights into system behavior.
Stay up-to-date with emerging technologies and trends in your field.
Communicate complex technical concepts and insights to both technical and non-technical stakeholder.
Basic Qualifications
Bachelor’s or Master’s degree in Computer Science, or a related field (or equivalent experience).
10+ years of experience in software engineering, data science, or related technical fields.
5+ years of experience in a leadership role within a technical team
2-3 years of hands-on experience leading software engineering teams
Proven experience as a Full Stack Engineer or similar role, with a strong portfolio of successful projects.
Solid experience in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Solid understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs.
Good knowledge of data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering.
Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
Proficiency in Git for version control of infrastructure code and application code
Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.
Familiarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake).
Proven experience with managing the development of end-to-end products that meet the business requirements
Hands on experience working in Agile teams, processes, and practices
Highly self-motivated, capable of delivering both independently and through strong team collaboration.
Ability to creatively tackle new challenges and step outside your comfort zone.
Strong English communication skills (written and verbal).
Preferred Qualifications
Advanced degree in Computer Science, Computer Engineering, Data Science, Statistics, or a related field (or equivalent experience)
Experience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. Docker)
Experience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue.
Experience in creating responsive user interfaces; familiar with technologies such as HTML, Tailwind CSS, Bootstrap, Material, Vuetify
Familiar with BI backend concept like Star Schema and Snowflake
Proven experience in building low code dashboard solution tools like Tableau, Power BI or Python framework like Dash and Streamlit
Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Cloudformation
Experience with data science platform technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms
Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack
Experience with enabling individuals and growing high performing teams

Please apply by sending your CV and a motivational letter in English.
Work Location Assignment: Hybrid

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join&nbsp;our client’s&nbsp;Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Their team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.As a Director, AI and Analytics Full Stack Engineering Lead, you will lead a team of full stack engineers and developers. Your team will partner with cross-functional data scientists and Digital leaders to accelerate the development of enterprise data science and AI applications by iteratively developing and continuously improving data science workflows, AI based software solutions, and AI components.Join them in making an impact on patient health through the application of cutting-edge technology and collaboration with a diverse team.Role Responsibilities<ul><li>Provide leadership, supervision, and mentorship for a regional team of full stack developers and engineers to drive the technical direction, identify performance metrics, and measure success of their products.</li><li>Coach direct reports to adopt best practices, improve technical skills, develop an innovative mindset, and achieve professional growth through technical and organizational thought leadership.</li><li>Partner with Data Science Industrialization leaders to define team roadmap and provide strategic and technical input on platform evolution, vendor scan, and new capability development.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for impactful solutions.</li><li>Lead development work streams by providing expertise, thought leadership, and embodying best practices to drive technical and strategic objectives.</li><li>Design and lead the delivery of end-to-end data science and AI products and reusable components including overseeing data ETL pipelines, server-side logic, ML engineering, frontend development, visualization, IaC, and CI/CD deployment.</li><li>Implement logging and monitoring tools to gain insights into system behavior.</li><li>Stay up-to-date with emerging technologies and trends in your field.</li><li>Communicate complex technical concepts and insights to both technical and non-technical stakeholder.</li></ul>Basic Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, or a related field (or equivalent experience).</li><li>10+ years of experience in software engineering, data science, or related technical fields.</li><li>5+ years of experience in a leadership role within a technical team</li><li>2-3 years of hands-on experience leading software engineering teams</li><li>Proven experience as a Full Stack Engineer or similar role, with a strong portfolio of successful projects.</li><li>Solid experience in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs.</li><li>Good knowledge of data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering.</li><li>Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.</li><li>Proficiency in Git for version control of infrastructure code and application code</li><li>Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.</li><li>Familiarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake).</li><li>Proven experience with managing the development of end-to-end products that meet the business requirements</li><li>Hands on experience working in Agile teams, processes, and practices</li><li>Highly self-motivated, capable of delivering both independently and through strong team collaboration.</li><li>Ability to creatively tackle new challenges and step outside your comfort zone.</li><li>Strong English communication skills (written and verbal).</li></ul>Preferred Qualifications<ul><li>Advanced degree in Computer Science, Computer Engineering, Data Science, Statistics, or a related field (or equivalent experience)</li><li>Experience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. Docker)</li><li>Experience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue.</li><li>Experience in creating responsive user interfaces; familiar with technologies such as HTML, Tailwind CSS, Bootstrap, Material, Vuetify</li><li>Familiar with BI backend concept like Star Schema and Snowflake</li><li>Proven experience in building low code dashboard solution tools like Tableau, Power BI or Python framework like Dash and Streamlit</li><li>Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Cloudformation</li><li>Experience with data science platform technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms</li><li>Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack</li><li>Experience with enabling individuals and growing high performing teams</li></ul> Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

1402 – Director, AI and Analytics Full Stack Engineering Lead

At the heart of our client’s hosting and application development strategy sits the Cloud and Network Security Services (CNSS) organization. Enabling all manner of digital infrastructure and cloud development capabilities, these services and products permeate across Pfizer influencing business outcomes and providing value to their business, shareholders, and patients every day.
Pfizer seeks individuals that are highly self-motivated, eager to learn, and are effective when working in a team environment. A strong aptitude towards self-development and growth is highly desired.
The AWS Solution Engineering lead will work with a team of cloud engineers, developers, and product specialist with the goal of building native cloud capabilities for all of Pfizer to consume.
ROLE RESPONSIBILITIES
The AWS Solution Engineering role provides senior level technical and design experience and will be key in ensuring Pfizer continues to leverage cloud native design patterns aligned with the organizations ability to modernize new and existing cloud-based solutions.  The role will have ownership in establishing a secure, compliant, productive, and innovative cloud hosting environment.
The role will bring expert level experience in designing AWS cloud solutions and implementing infrastructure as code capabilities. This role will deeply influence how Pfizer Digital consumes and utilizes AWS hosting technologies in support of all business lines on a global scale and will be critical to the development and modernization of AWS cloud capabilities.
The ideal candidate will have strong demonstrable experience in working within an AWS environment along with developing solutions using infrastructure as code for application teams to consume.
Responsibilities include:
Work in a cross functional, global engineering and service development team while creating internal engineering and development standards.
Bring expert level knowledge in AWS cloud services with infrastructure design experience.
Directly influence how their business consumes AWS cloud technologies with a bias towards repeatable cost-effective infrastructure design principles.
Create modern cloud design patterns and help drive consumption of reusable patterns through partnership with creation centers.
Collaborate with cloud engineers, developers, and product teams to build native cloud capabilities for Pfizer.
Design and architect global standards for the deployment and management of AWS.
Assist the engineering team establish cloud cost optimization best practices through policy as code.
BASIC QUALIFICATIONS 
Bachelor’s Degree in Information Technology, Computer Science, Computer Engineering, or a similar discipline.
6+ years of experience in an enterprise IT setting, preferably one in a highly regulated industry such as banking/financial or healthcare/pharmaceutical.
Expert-level knowledge of and experience with AWS infrastructure development, implementation, and sustaining support.
Experience building and deploying cloud infrastructure using industry standard IaC capabilities such as Terraform.
Excellent communicator, with an ability to influence horizontally and vertically across a large, complex, and matrixed organization. Adept at managing priorities to identify those outcomes with the greatest value for Pfizer.
Customer centric mentality biased towards delivering value to Pfizer at the speed demanded by their business.
Experience integrating application hosting needs with AWS infrastructure capabilities to build secure and well architected capabilities.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
PREFERRED QUALIFICATIONS 
Demonstratable experience working in a DevOps environment with expert level knowledge in building, maintaining, and deploying infrastructure as code solutions.
Experience building infrastructure as code capabilities using Terraform; configuration management experience using Ansible.
Experience qualifying cloud services capabilities for use within a GxP regulated environment.
Work Location Assignment: Hybrid

At the heart of&nbsp;our client’s&nbsp;hosting and application development strategy sits the Cloud and Network Security Services (CNSS) organization. Enabling all manner of digital infrastructure and cloud development capabilities, these services and products permeate across Pfizer influencing business outcomes and providing value to their business, shareholders, and patients every day.Pfizer seeks individuals that are highly self-motivated, eager to learn, and are effective when working in a team environment.&nbsp;A strong aptitude towards self-development and growth is highly desired.The AWS Solution Engineering lead&nbsp;will work with a team of cloud engineers, developers, and product specialist with the goal of building native cloud capabilities for all of Pfizer to consume.ROLE RESPONSIBILITIESThe AWS Solution Engineering role provides senior level technical and design experience and will be key in ensuring Pfizer continues to leverage cloud native design patterns aligned with the organizations ability to modernize new and existing cloud-based solutions.&nbsp;&nbsp;The role will have ownership in establishing a secure, compliant, productive, and innovative cloud hosting environment.The role will bring expert level experience in designing AWS cloud solutions and implementing infrastructure as code capabilities. This role will deeply influence how Pfizer Digital consumes and utilizes AWS hosting technologies in support of all business lines on a global scale and will be critical to the development and modernization of AWS cloud capabilities.The ideal candidate will have strong demonstrable experience in working within an AWS environment along with developing solutions using infrastructure as code for application teams to consume.Responsibilities include:<ul><li>Work in a cross functional, global engineering and service development team while creating internal engineering and development standards.</li><li>Bring expert level knowledge in AWS cloud services with infrastructure design experience.</li><li>Directly influence how their business consumes AWS cloud technologies with a bias towards repeatable cost-effective infrastructure design principles.</li><li>Create modern cloud design patterns and help drive consumption of reusable patterns through partnership with creation centers.</li><li>Collaborate with cloud engineers, developers, and product teams to build native cloud capabilities for Pfizer.</li><li>Design and architect global standards for the deployment and management of AWS.</li><li>Assist the engineering team establish cloud cost optimization best practices through policy as code.</li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s Degree in Information Technology, Computer Science, Computer Engineering, or a similar discipline.</li><li>6+ years of experience in an enterprise IT setting, preferably one in a highly regulated industry such as banking/financial or&nbsp;healthcare/pharmaceutical.</li><li>Expert-level knowledge of and experience with AWS infrastructure development, implementation, and sustaining support.</li><li>Experience building and deploying cloud infrastructure using industry standard IaC capabilities such as Terraform.</li><li>Excellent communicator, with an ability to influence horizontally and vertically across a large, complex, and matrixed organization.&nbsp;Adept at managing priorities to identify those outcomes with the greatest value for Pfizer.</li><li>Customer centric mentality biased towards delivering value to Pfizer at the speed demanded by their business.</li><li>Experience integrating application hosting needs with AWS infrastructure capabilities to build secure and well architected capabilities.</li><li>Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.</li></ul>PREFERRED&nbsp;QUALIFICATIONS&nbsp;<ul><li>Demonstratable experience working in a DevOps environment with expert level knowledge in building, maintaining, and deploying infrastructure as code solutions.</li><li>Experience building infrastructure as code capabilities using Terraform; configuration management experience using Ansible.</li><li>Experience qualifying cloud services capabilities for use within a GxP regulated environment.</li></ul>Work Location Assignment:&nbsp;Hybrid

1400 – Senior Manager, AWS Solution Engineering Lead

All over the world, our client’s colleagues are working together to positively impact health for everyone, everywhere. Each position at Pfizer touches and contributes to the success of their business and our world. That’s why, as one of the global leaders in the biopharmaceutical industry, Pfizer is committed to seeking out inspired new talent who share their core values and mission of making the world a healthier place.
R&D within AIDA (AI, Data and Analytics), a Pfizer Digital organization, is responsible for the development and management of all data and analytics tools and platforms across the enterprise – from global research and development, to manufacturing, to commercial, to patient care across over 100+ countries. One of the team’s top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.
R&D in AIDA holds responsibility for the development and operations of the aggregate data solutions (data lakes and associated application portfolios) supporting Pfizer’s scientific and clinical functions.
The Senior Associate Solution Engineer will develop data solutions with a team of peer developers, digital client partners, architects, platform leads and contract support personnel for Global Clinical Supply (GCS).
What You Will Achieve
In this role, you will:
Design, develop, maintain and improve new and existing data solutions with a strong sense of accountability and attention to quality (mainly within a cloud hosted environment).
Design, develop and maintain patterns used for various data engineering solutions. Identify, evaluate and recommend alternative design options when needed.
Align development activity with recommended architectures, platforms and coding standards. Ensures quality, security and privacy are built in.
Partner with internal and external teams to implement data solutions. Collaborate closely with others in cross-functional teams.
Perform code reviews and testing of code written, including designing and writing automated workflows to allow for continuous delivery.
Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes.
Ensure documentation requirements are met based on both SDLC and ADLC processes.
Exercise own judgment leveraging knowledge and experience, working independently with instruction on complex problems.
Translate business requirements into engineering specifications.
Basic Requirements:
BS/MS in Computer Science, Engineering, or related field.
3+ years of experience in a hands-on data engineering role.
Fundamental knowledge in programming using Python and PySpark.
Demonstrated knowledge of Structured Query Language (SQL).
Back-end experience with databases such as Oracle, RedShift, and Snowflake.
Knowledge of Big Data technologies.
Experience in designing, developing and implementing advanced data engineering solutions.
Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision.
Flexible to changing priorities and comfortable in a fast-passed dynamic environment.
Strong attention to detail with high standards of quality and customer value.
Self-motivated and proactive with the ability to take ownership of issues.
Excellent oral and written communication skills.
Familiarity on ETl workflows, data storage, index strategies, ingesting/indexing processes, transforming/normalizing data and data enrichment upon ingest.
Preferred Requirements:
Experience in working with cloud solutions and services, preferably AWS.
Experience with developing identity management solutions desirable.
Experience in developing solutions aimed at medical professionals desirable.
Experience in the Pharma industry desirable.
Experience in modern software development practices including distributed versioning systems, continuous integration/deployment, automated testing (DevOps).
Working knowledge of Jira, GitHub, and Docker.
Experience with Agile methodology for developing and delivering solutions.
Work Location Assignment: Hybrid

All over the world,&nbsp;our client’s&nbsp;colleagues are working together to positively impact health for everyone, everywhere. Each position at Pfizer touches and contributes to the success of their business and our world. That’s why, as one of the global leaders in the biopharmaceutical industry, Pfizer is committed to seeking out inspired new talent who share their core values and mission of making the world a healthier place.R&amp;D within AIDA (AI, Data and Analytics), a Pfizer Digital organization, is responsible for the development and management of all data and analytics tools and platforms across the enterprise – from global research and development, to manufacturing, to commercial, to patient care across over 100+&nbsp;countries. One of the team’s top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.R&amp;D in AIDA&nbsp;holds responsibility for the development and operations of the aggregate data solutions (data lakes and associated application portfolios) supporting Pfizer’s scientific and clinical functions.The Senior Associate Solution Engineer will develop data solutions with a team of peer developers, digital client partners, architects, platform leads and contract support personnel for Global Clinical Supply (GCS).What You Will AchieveIn this role, you will:<ul><li>Design, develop, maintain and improve new and existing data solutions with a strong sense of accountability and attention to quality (mainly within a cloud hosted environment).</li><li>Design, develop and maintain patterns used for various data engineering solutions. Identify, evaluate and recommend alternative design options when needed.</li><li>Align development activity with recommended architectures, platforms and coding standards.&nbsp;Ensures quality, security and privacy are built in.</li><li>Partner with internal and external teams to implement data solutions. Collaborate closely with others in cross-functional teams.</li><li>Perform code reviews and testing of code written, including designing and writing automated workflows to allow for continuous delivery.</li><li>Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes.</li><li>Ensure documentation requirements are met based on both SDLC and ADLC processes.</li><li>Exercise own judgment leveraging knowledge and experience, working independently with instruction on complex problems.</li><li>Translate business requirements into engineering specifications.</li></ul>Basic Requirements:<ul><li>BS/MS in Computer Science, Engineering, or related field.</li><li>3+ years of experience in a hands-on data engineering role.</li><li>Fundamental knowledge in programming using Python and PySpark.</li><li>Demonstrated knowledge of Structured Query Language (SQL).</li><li>Back-end experience with databases such as Oracle, RedShift, and&nbsp;Snowflake.</li><li>Knowledge of Big Data technologies.</li><li>Experience in designing, developing and implementing advanced data engineering solutions.</li><li>Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision.</li><li>Flexible to changing priorities and comfortable in a fast-passed dynamic environment.</li><li>Strong attention to detail with high standards of quality and customer value.</li><li>Self-motivated and proactive with the ability to take ownership of issues.</li><li>Excellent oral and written communication skills.</li><li>Familiarity on ETl workflows, data storage, index strategies, ingesting/indexing processes, transforming/normalizing data and data enrichment upon ingest.</li></ul>Preferred Requirements:<ul><li>Experience in working with cloud solutions and services, preferably AWS.</li><li>Experience with developing identity management solutions desirable.</li><li>Experience in&nbsp;developing solutions aimed at medical professionals desirable.</li><li>Experience in the Pharma&nbsp;industry&nbsp;desirable.</li><li>Experience in modern software development practices including distributed versioning systems, continuous&nbsp;integration/deployment,&nbsp;automated testing (DevOps).</li><li>Working knowledge of Jira, GitHub, and Docker.</li><li>Experience with Agile methodology for developing and delivering solutions.</li></ul>Work Location Assignment:&nbsp;Hybrid

1399 – Senior Associate, Solution Engineer

Site Reliability Engineering (SRE) is a set of principles and practices that seeks to take a software engineering approach to solving IT Operations problems. In the Site Reliability Engineering team, our client seeks to apply an SRE approach to managing infrastructure operations, with a focus on:
Ensuring services are running smoothly: identifying and regularly reviewing operational health indicators to ensure delivery to defined service levels.
Continuously analyzing service data to identify service improvement opportunities. Opportunities will be assessed on their potential to remove manual effort (‘toil’), improve service reliability, and enhance customer experience.
Developing, or partnering with other teams to develop automation that will remove toil from the environment, and deliver a more reliable, cost-effective service to the company.
The SRE engineer will work to ensure that Pfizer’s critical services have reliability and uptime appropriate to users’ needs by developing software that automates support tasks, reduces errors, and self-heals common service failures.
ROLE RESPONSIBILITIES
Work as part of a team of software and systems engineers on projects oriented towards improving the availability, reliability and efficiency of the global infrastructure services that run Pfizer’s critical applications.
Develop infrastructure and build monitoring and automated solutions to address those recurring issues and to remove manual effort to increase service efficiency.
Apply “everything-as-code” philosophy across configuration, infrastructure, Orchestration methodologies to ensure their production systems are fault tolerant and resilient.
Analyze system data to identify patterns that indicate opportunities for improvement, particularly by addressing recurring issues, or automating currently manual effort (‘toil’).
Take a data-driven approach to identifying and surfacing indicators for use by the broader operations team to monitor service health.
Practice blameless post-mortems – deep-dive analyses on major service events and outages, with a view to identifying opportunities for improvement.
QUALIFICATIONS 
Basic requirements:
Bachelor’s degree in computer science or related technical field, or equivalent practical experience.
At least 5 years of demonstrated experience in similar roles/environments.
Experience with at least one of the major cloud providers (AWS, Google Cloud, Azure, etc), infrastructure architecture and infrastructure as code (IaC).
Proven experience with containerization and container orchestration tools.
Proven experience working with various operating systems, including Unix, Linux, and Windows (on premise and virtual).
Proven experience with configuration management tools (Ansible, Puppet, Chef etc).
Expertise in git operations, branching strategies, versioning and releasing.
Practical experience and understanding of CI/CD pipelines.
Strong scripting skills (Bash, PowerShell, Python etc.) to automate various tasks.
Exposure to monitoring tools (logs, metrics, traces) and alerts.
Experience with analyzing and troubleshooting on-premise and cloud systems.
Previous experience with Agile delivery frameworks (e.g. Scrum, Kanban).
Preferred requirements:
Advanced degree
Previous experience with hosting and network solutions.
Previous experience with programming and SDLC lifecycle in at least two of the following: Python, Java, C#, JavaScript, TypeScript, Go, C, C++, etc. will be considered a plus.
Experience with Relational and Non-Relational databases.
Hands-on experience with ServiceNow or similar, ITSM workflows, and CMDB integrations.
Proven ability to work effectively with cross-functional teams, including developers, QA, operations, and product management.
Aptitude for mentoring less experienced team members and providing guidance on best practices, even without direct management responsibilities.
Ability to quickly learn and adapt to new tools and technologies as needed.
Expertise in designing and maintaining automated build, test, and deployment systems.
Familiarity with modern architectural patterns, including microservices and serverless architectures.
Systematic problem-solving approach, coupled with effective communication skills and a sense of drive.
Previous work in highly regulated environments with security and compliance considerations.
Experience working in globally distributed teams with cross-functional collaboration.
Work Location Assignment: Hybrid

Site Reliability Engineering (SRE) is a set of principles and practices that seeks to take a software engineering approach to solving IT Operations problems. In the Site Reliability Engineering team,&nbsp;our client&nbsp;seeks to apply an SRE approach to managing infrastructure operations, with a focus on:<ul><li>Ensuring services are running smoothly: identifying and regularly reviewing operational health indicators to ensure delivery to defined service levels.</li><li>Continuously analyzing service data to identify service improvement opportunities. Opportunities will be assessed on their potential to remove manual effort (‘toil’), improve service reliability, and enhance customer experience.</li><li>Developing, or partnering with other teams to develop automation that will remove toil from the environment, and deliver a more reliable, cost-effective service to the company.</li></ul>The SRE engineer will work to ensure that Pfizer’s critical services have reliability and uptime appropriate to users’ needs by developing software that automates support tasks, reduces errors, and self-heals common service failures.ROLE RESPONSIBILITIES<ul><li>Work as part of a team of software and systems engineers on projects oriented towards improving the availability, reliability and efficiency of the global infrastructure services that run Pfizer’s critical applications.</li><li>Develop infrastructure and build monitoring and automated solutions to address those recurring issues and to remove manual effort to increase service efficiency.</li><li>Apply “everything-as-code” philosophy across configuration, infrastructure, Orchestration methodologies to ensure their production systems are fault tolerant and resilient.</li><li>Analyze system data to identify patterns that indicate opportunities for improvement, particularly by addressing recurring issues, or automating currently manual effort (‘toil’).</li><li>Take a data-driven approach to identifying and surfacing indicators for use by the broader operations team to monitor service health.</li><li>Practice blameless post-mortems – deep-dive analyses on major service events and outages, with a view to identifying opportunities for improvement.</li></ul>QUALIFICATIONS&nbsp;Basic requirements:<ul><li>Bachelor’s degree in computer science or related technical field, or equivalent practical experience.</li><li>At least 5 years of demonstrated experience in similar roles/environments.</li><li>Experience with at least one of the major cloud providers (AWS, Google Cloud, Azure, etc), infrastructure architecture and infrastructure as code (IaC).</li><li>Proven experience with containerization and container orchestration tools.</li><li>Proven experience working with various operating systems, including Unix, Linux, and Windows (on premise and virtual).</li><li>Proven experience with configuration management tools (Ansible, Puppet, Chef etc).</li><li>Expertise in git operations, branching strategies, versioning and releasing.</li><li>Practical experience and understanding of CI/CD pipelines.</li><li>Strong scripting skills (Bash, PowerShell, Python etc.) to automate various tasks.</li><li>Exposure to monitoring tools (logs, metrics, traces) and alerts.</li><li>Experience with analyzing and troubleshooting on-premise and cloud systems.</li><li>Previous experience with Agile delivery frameworks (e.g. Scrum, Kanban).</li></ul>Preferred requirements:<ul><li>Advanced degree</li><li>Previous experience with hosting and network solutions.</li><li>Previous experience with programming and SDLC lifecycle in at least two of the following: Python, Java, C#, JavaScript, TypeScript, Go, C, C++, etc. will be considered a plus.</li><li>Experience with Relational and Non-Relational databases.</li><li>Hands-on experience with ServiceNow or similar, ITSM workflows, and CMDB integrations.</li><li>Proven ability to work effectively with cross-functional teams, including developers, QA, operations, and product management.</li><li>Aptitude for mentoring less experienced team members and providing guidance on best practices, even without direct management responsibilities.</li><li>Ability to quickly learn and adapt to new tools and technologies as needed.</li><li>Expertise in designing and maintaining automated build, test, and deployment systems.</li><li>Familiarity with modern architectural patterns, including microservices and serverless architectures.</li><li>Systematic problem-solving approach, coupled with effective communication skills and a sense of drive.</li><li>Previous work in highly regulated environments with security and compliance considerations.</li><li>Experience working in globally distributed teams with cross-functional collaboration.</li></ul>Work Location Assignment:&nbsp;Hybrid

1397 – Manager, Site Reliability Engineer

Our client’s Digital Quality (DQ) Solution Center delivers advanced solutions that revolutionize Quality, Safety and Environmental Operations within Pfizer Global Supply (PGS). The mission of the DQ Solution Center is to empower and optimize the performance of Laboratory (QC), Quality Assurance (QA), and Environmental Health & Safety (EHS) organizations through the automation and implementation of innovative technologies, with a focus on continuous improvement and excellence. Their team philosophy is “Do good work” and as per Pfizer’s Purpose Blueprint, “Win the Digital Race in Pharma.”
The Sr Associate, QA Solution Owner is responsible for co-leading an agile development team along with a Lead Product Owner to define and prioritize features along with developing user stories for the Veeva eQMS Solution.
They will work within the eQMS team to help develop the technical strategy for moving the solution towards this vision. The colleague must have a strong CI and Innovative mindset and be comfortable taking appropriate risks to achieve desired results and drive the adoption of new technologies and processes for the solution.
ROLE RESPONSIBILITIES
The Sr Associate, QA Solution Owner responsibilities include but are not limited to:
Support Lead Product Owners for a new or existing eQMS module(s).
Lead coordination, documentation, refinement and communication with/for Lead PO on requirements from sites
Support Lead PO to gather business requirements. Capture both functional and non-functional requirements in a use case.
Support PO in serving as solution SME for sites and stakeholder conversations
Support PO to maintain and prioritize team user story, enabler & defect backlog
Collaborate with the QA Technical leads to assess technology capabilities and architecture requirements in support of Lead PO
Collaborate and set expectations with business, scrum master and development team in support of Lead PO
Collaborate with Deployment lead on pre-deployment & business alignment activities for the eQMS Solution in support of Lead PO
Collaborate with Analytics and Reporting team to align requirements
Demonstrate and promote agile ways of working
Conduct all activities and make decisions that are in accordance with Company policies & SOPs, Pfizer Values, FDA & global regulatory guidelines (including cGMP/cGLP/cGCP), environmental guidelines, as appropriate and where applicable etc.
BASIC QUALIFICATIONS
Bachelor’s BS in Information Technology, Engineering or related discipline.
2+ years of project management experience
Experience with Agile, (SAFe preferred)
Strong written and communication skills with the ability to effectively communicate to colleagues at all levels including executive levels
Experience in all stages of system and application lifecycle from value analysis, business case development, solution deployment through value realization
A basic understanding of system GMP requirements and demonstrable knowledge of computer system design and maintenance lifecycle in GMP environments.
Experience in MS Office Products (i.e. MS Word, Excel, PowerPoint, Access)
PREFERRED QUALIFICATIONS
Knowledge of the Veeva Platform
Knowledge of agile tools (i.e. Jira)
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Ability to travel up to 20%. Ability to meet with colleagues virtually across different regions and time zones
Work Location Assignment: Hybrid

Our client’s&nbsp;Digital Quality (DQ) Solution Center delivers advanced solutions that revolutionize Quality, Safety and Environmental Operations within Pfizer Global Supply (PGS). The mission of the DQ Solution Center is to empower and optimize the performance of Laboratory (QC), Quality Assurance (QA), and Environmental Health &amp; Safety (EHS) organizations through the automation and implementation of innovative technologies, with a focus on continuous improvement and excellence. Their team philosophy is “Do good work” and as per Pfizer’s Purpose Blueprint, “Win the Digital Race in Pharma.”The Sr Associate, QA Solution Owner is responsible for co-leading an agile development team along with a Lead Product Owner to define and prioritize features along with developing user stories for the Veeva eQMS Solution.They will work within the eQMS team to help develop the technical strategy for moving the solution towards this vision. The colleague must have a strong CI and Innovative mindset and be comfortable taking appropriate risks to achieve desired results and drive the adoption of new technologies and processes for the solution.ROLE RESPONSIBILITIESThe Sr Associate, QA Solution Owner&nbsp;responsibilities include but are not limited to:<ul><li>Support Lead Product Owners for a new or existing eQMS module(s).</li><li>Lead coordination, documentation, refinement and communication with/for Lead PO on requirements from sites</li><li>Support Lead PO to gather business requirements. Capture both functional and non-functional requirements in a use case.</li><li>Support PO in serving as solution SME for sites and stakeholder conversations</li><li>Support PO to maintain and prioritize team user story, enabler &amp; defect backlog</li><li>Collaborate with the QA Technical leads to assess technology capabilities and architecture requirements in support of Lead PO</li><li>Collaborate and set expectations with business, scrum master and development team in support of Lead PO</li><li>Collaborate with Deployment lead on pre-deployment &amp; business alignment activities for the eQMS Solution in support of Lead PO</li><li>Collaborate with Analytics and Reporting team to align requirements</li><li>Demonstrate and promote agile ways of working</li><li>Conduct all activities and make decisions that are in accordance with Company policies &amp; SOPs, Pfizer Values, FDA &amp; global regulatory guidelines (including cGMP/cGLP/cGCP), environmental guidelines, as appropriate and where applicable etc.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s BS in Information Technology, Engineering or related discipline.</li><li>2+ years of project management experience</li><li>Experience with Agile, (SAFe preferred)</li><li>Strong written and communication skills with the ability to effectively communicate to colleagues at all levels including executive levels</li><li>Experience in all stages of system and application lifecycle from value analysis, business case development, solution deployment through value realization</li><li>A basic understanding of system GMP requirements and demonstrable knowledge of computer system design and maintenance lifecycle in GMP environments.</li><li>Experience in MS Office Products (i.e. MS Word, Excel, PowerPoint, Access)</li></ul>PREFERRED QUALIFICATIONS<ul><li>Knowledge of the Veeva Platform</li><li>Knowledge of agile tools (i.e. Jira)</li></ul>NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTSAbility to travel up to 20%.&nbsp;Ability to meet with colleagues virtually across different regions and time zonesWork Location Assignment:&nbsp;Hybrid

1394 & 1395 – Sr Associate, QA Solution Owner

Our client is a leading crowdfunding platform dedicated to empowering individuals and organizations to bring their ideas to life and specialized mainly in real estate. They are seeking a proactive and experienced IT Support and Maintenance Specialist to join their dynamic team. This role is pivotal in ensuring the seamless operation, security, and performance of their platform, providing support for users, and maintaining the infrastructure that powers their growing community.
Job Responsibilities:
Provide day-to-day IT support for internal teams, troubleshooting technical issues related to the crowdfunding platform.
Monitor, maintain, and optimize the performance and uptime of the platform’s infrastructure, including web servers, databases, and cloud services.
Implement system updates, patches, and upgrades to ensure optimal functionality and security.
Collaborate with development teams to resolve bugs, troubleshoot technical problems, and deploy new features.
Implement and enforce security measures to safeguard user data, financial transactions, and sensitive platform information.
Perform regular system backups and disaster recovery procedures.
Troubleshoot and resolve performance issues, ensuring minimal downtime and disruption to platform users.
Prepare documentation for systems, processes, and procedures related to platform maintenance and troubleshooting.
Stay up to date with industry trends, best practices, and emerging technologies relevant to crowdfunding platforms and IT infrastructure.
Required Skills & Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
Proven experience in IT support, systems administration, or platform maintenance, preferably within a web-based environment.
Strong knowledge of cloud infrastructure (AWS, Azure, Google Cloud, etc.), server management, and web technologies.
Experience with databases (MySQL, PostgreSQL, etc.) and website performance monitoring tools.
Solid understanding of security protocols, including data encryption, firewall configuration, and vulnerability management.
Proficiency in troubleshooting and resolving software and hardware issues.
Ability to work in a fast-paced environment, manage multiple tasks, and prioritize effectively.
Excellent communication skills, both written and verbal, with the ability to explain technical issues to non-technical team members.
Preferred Qualifications:
Experience with crowdfunding platforms or similar online transaction-based systems.
Familiarity with agile methodologies and project management tools.
Certifications in IT-related fields (e.g., CompTIA A+, Microsoft Certified, AWS Certified Solutions Architect, etc.).
Why Join Them?
Competitive salary and benefits package.
Opportunities for career growth and development in a rapidly expanding tech environment and an innovative company.
Flexible work schedule with remote options available.
Work with a passionate and supportive team dedicated to making a positive impact through crowdfunding.
If you’re a detail-oriented IT professional with a passion for maintaining cutting-edge technology, we would love to hear from you! Apply today to join their team and help shape the future of crowdfunding.

Our client&nbsp;is a leading crowdfunding platform dedicated to empowering individuals and organizations to bring their ideas to life and specialized mainly in real estate. They are seeking a proactive and experienced IT Support and Maintenance Specialist to join their dynamic team. This role is pivotal in ensuring the seamless operation, security, and performance of their platform, providing support for users, and maintaining the infrastructure that powers their growing community.Job Responsibilities:<ul><li>Provide day-to-day IT support for internal teams, troubleshooting technical issues related to the crowdfunding platform.</li><li>Monitor, maintain, and optimize the performance and uptime of the platform’s infrastructure, including web servers, databases, and cloud services.</li><li>Implement system updates, patches, and upgrades to ensure optimal functionality and security.</li><li>Collaborate with development teams to resolve bugs, troubleshoot technical problems, and deploy new features.</li><li>Implement and enforce security measures to safeguard user data, financial transactions, and sensitive platform information.</li><li>Perform regular system backups and disaster recovery procedures.</li><li>Troubleshoot and resolve performance issues, ensuring minimal downtime and disruption to platform users.</li><li>Prepare documentation for systems, processes, and procedures related to platform maintenance and troubleshooting.</li><li>Stay up to date with industry trends, best practices, and emerging technologies relevant to crowdfunding platforms and IT infrastructure.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).</li><li>Proven experience in IT support, systems administration, or platform maintenance, preferably within a web-based environment.</li><li>Strong knowledge of cloud infrastructure (AWS, Azure, Google Cloud, etc.), server management, and web technologies.</li><li>Experience with databases (MySQL, PostgreSQL, etc.) and website performance monitoring tools.</li><li>Solid understanding of security protocols, including data encryption, firewall configuration, and vulnerability management.</li><li>Proficiency in troubleshooting and resolving software and hardware issues.</li><li>Ability to work in a fast-paced environment, manage multiple tasks, and prioritize effectively.</li><li>Excellent communication skills, both written and verbal, with the ability to explain technical issues to non-technical team members.</li></ul>Preferred Qualifications:<ul><li>Experience with crowdfunding platforms or similar online transaction-based systems.</li><li>Familiarity with agile methodologies and project management tools.</li><li>Certifications in IT-related fields (e.g., CompTIA A+, Microsoft Certified, AWS Certified Solutions Architect, etc.).</li></ul>Why Join Them?<ul><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and development in a rapidly expanding tech environment and an innovative company.</li><li>Flexible work schedule with remote options available.</li><li>Work with a passionate and supportive team dedicated to making a positive impact through crowdfunding.</li></ul>If you’re a detail-oriented IT professional with a passion for maintaining cutting-edge technology, we would love to hear from you! Apply today to join their team and help shape the future of crowdfunding.

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