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Πωλήσεις / Marketing / Εμπόριο Λιανικής

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Τέχνες / Πολιτισμός

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Code.Hub&nbsp;partners with leading global professional services companies, offering a broad range of services and solutions in strategy, consulting, digital, technology, and operations. Using cutting-edge technologies, it helps clients improve performance and deliver sustainable value to stakeholders.Qualifications<ul><li>Broad technical knowledge</li><li>1-2 years experience in application development, configuration, and extension</li><li>Familiarity with software development lifecycle, including analysis, design, and implementation</li><li>Understanding of client communication and collaboration within a project setting</li><li>Interest in working across various technical areas, beyond just pure development</li><li>Strong problem-solving and troubleshooting skills</li></ul>Requirements<ul><li>1-2 years of relevant technical experience</li><li>Excellent communication and soft skills, with ability to engage effectively with clients</li><li>Ability to work effectively in a hybrid model (1–2 days per week onsite in Athens)</li><li>Strong organizational and time-management abilities, especially in a structured environment with daily checkpoints</li><li>Fluent English (written and spoken)</li><li>University degree in a relevant field (Computer Science, Informatics, Engineering)</li></ul>Technical Skills (Preferred)<ul><li>Experience or familiarity with Java, Web Services, REST, JSON</li><li>Understanding of configuration and extension of applications (not only from-scratch development)</li><li>Familiarity with version control systems like GIT</li><li>Basic knowledge of SQL or database interactions</li><li>Openness to learning and working on new tools, technologies, and systems as required by the project</li></ul>Let’s talk about us:<ul><li>Hybrid working model</li><li>A competitive salary</li><li>Signing bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies development</li><li>Continuous learning &amp; development experience based on the Infinity Model through Code.Hub’s&nbsp;Code.Learn</li><li>Learning &amp; Development (L&amp;D) plan for your career growth</li><li>A truly open, inclusive, and competition-free environment to grow your skills and have fun</li><li>Internal competitions &amp; rewards</li></ul>Let’s talk about Code.Hub-ers:<ul><li>Eligibility for free LinkedIn trainings</li><li>Free access to all&nbsp;Code.Learn&nbsp;training activities after 6 months from your induction</li><li>Training &amp; tech mentor assigned for your induction</li><li>Unlimited access to LinkedIn Learning platform (first semester)</li><li>Sponsorship opportunities for a Bachelor’s and/or Master’s degree from Athens Tech College</li><li>Private health insurance</li><li>Performance planning every six months and promotion planning every two years</li><li>Free lunch/snack every day &amp;&nbsp;Cocktail Fridays&nbsp;at our offices</li><li>Referral bonus program</li></ul>

Application Consultant / Engineer

The Process Operations &amp; Improvements role will design, plan, manage, improve, and direct the execution of the business processes. The role will partner with the Process Leads and other key stakeholders and vendors to manage process operations and ensure audit compliance. A key component of the role will be to drive process transformation in partnership with Digital and CTIES stakeholders.The desired outcome will be simplified processes with methods in place for continuous analysis of process optimization, and identification of automation opportunities. This role required strong data analytical skills, along with a solid ability to understand and solve complex and unique problems using tried and tested techniques. An innovative mindset will be key to successful process transformation and to help drive identification, quantification, and proposal of process improvements.Role Responsibilities:<ul><li>Design and develop process measures and KPIs/metrics to measure process efficiency and success. This includes the design, develop and presentation of Process Dashboards</li><li>Support process transformation in partnership with process leads and stakeholders by identifying and implementing optimization opportunities using feedback, analytics, and metrics data to identify issues and improvement opportunities</li><li>Identify and implement process automation opportunities to reduce toil</li><li>Partner with the service management tools group to prioritize improvements, identify funding, and coordinate implementation activities (e.g., requirements, testing, etc.)</li><li>Provide governance for CTIES business and continuous improvement processes.</li><li>Supporting Audit process and response and maintain a state of continuous Audit readiness</li><li>Provide process support, education, and awareness to relevant teams</li></ul>Basic Qualifications:<ul><li>Bachelor of Science degree in Information Management, Computer Science, Engineering, Technology Management, or relevant disciplines</li><li>2+ years demonstrated ability and experience of Process Management and Improvement in a pharmaceutical or regulated environment</li><li>Key knowledge of ITIL Framework will be essential to the success of this role. ITIL Foundation or Practitioner Certification preferred.</li><li>Strong data literacy and analytical ability. Must be able to aggregate data from different sources with keen attention to detail, derive insights and communicate actionable information.</li><li>Exceptional interpersonal and communication skills with the ability to establish relationships, influence outcomes, and deliver effective presentations to a variety of audiences</li><li>Experience in Agile ways of working (Scrum or Kanban)</li></ul>Preferred Qualifications:<ul><li>LEAN Six Sigma certification and proven ability to use process improvement and problem-solving techniques (Kaizen, Six Sigma/Lean, Value Stream Mapping etc.)</li><li>Excel proficiency</li><li>Vendor governance and partnership experience</li><li>ServiceNow experience would be a plus</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

1430 – ​​Sr Associate, Process Operations & Improvements​

Their team consists of two main areas under which their disciplines are divided across. Solution Design focuses on User Research, Design Strategy, Product Design and Design Systems Framework. Solution Adoption focuses on Trainings, Communications and Change Management of their digital PGS solutions. Their team operates as a horizontal shared service to enable entire Digital PGS creation center. (Digital Manufacturing, Digital Quality, Digital Supply, &amp; Digital Site Network)ROLE RESPONSIBILITIESThe Manager – Value Insights &amp; Design Strategy will lead projects across the Digital PGS Creation Centre, combining creative and analytical skills to ensure they design experiences that meet the needs of their users and are aligned to strategic organizational goals. This role is highly collaborative, working closely with all SD&amp;A capabilities (UX Research, Product Design, Design Framework, Adoption) to achieve project objectives and operational excellence. The responsibilities of the Manager – Value Insights &amp; Design Strategy include but are not limited to:<ul><li>Form clear and concise project plans ensuring all Design Strategy and Value Insights activities are understood, scoped and planned for · Lead and execute all key project phases including framing, current state mapping, data analysis (qual and quant), insight generation, future state mapping etc.</li><li>Conduct qual and quant data gathering exercises (surveys, interviews, focus groups, workshops etc.) and generate meaningful, actionable data-driven insights / recommendations that increase Digital PGS’ value impact (i.e., enhance user experience, increase solution effectiveness etc.)</li><li>Translate insights and strategies into tangible design proposals and user requirements</li><li>Design and facilitate stakeholder engagements that foster shared understanding of complex processes, enable alignment and drive strategic decision making</li><li>Deliver project outputs and presentations with a high degree of polish and professionalism · Partner with contracted resources managing overall project execution, providing coaching and feedback where necessary</li><li>Apply your extensive multi-disciplinary design knowledge to define methodologies, drive best practices and support the evolution of their Design Strategy and Value Insights capability</li><li>Take ownership of accomplishing new and varied requests, exploring opportunities to add value to organizational accomplishments</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s degree is required. An advanced degree would be a plus</li><li>At least 5 years of experience in: Design Strategy, Value Insights, Service Design, Product Design, Interaction Design, Data Visualization, Applied Research, Design Research, Human Factors, Human-Computer Interaction etc. ·</li><li>High degree of proficiency in collaborative tools e.g. Miro</li><li>Ability to collaborate actively as part of a multi-disciplinary team</li><li>Ability to conduct research that varies in approach, scale, scope, timeframe and methodology</li><li>Ability to combine creative and analytical skills to deliver actionable outcomes and insights</li><li>Proficiency with design and prototyping tools primarily Figma and design systems</li><li>Ability to assimilate knowledge at pace and switch context in a fast-paced environment</li><li>Ability to bring clarity to complexity, distilling large quantities of data into meaningful insights ·</li><li>Enthusiasm, patience, and a solutions-oriented attitude toward any risks and challenges</li><li>Comfort with ambiguity and complex problems</li><li>Organized, able to act independently, and able to switch between different projects in a fast-paced environment</li><li>Familiarity in emergent technologies and how to apply them to different business challenges</li><li>Ability to confidently present work and to accept or provide constructive feedback</li></ul>PREFERRED QUALIFICATIONS<ul><li>UX, HFI, Agile, or equivalent certification</li><li>Strong visual design skills</li><li>Pharmaceutical or Manufacturing Industry experience a plus</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment: Hybrid

1429 – Manager, Value Insights & Design Strategy

The Digital organization powers&nbsp;our client&nbsp;with putting medicines in the hands of patients, while maintaining the highest standards of innovative digital solutions. The Digital PGS Creation Center Team enables Pfizer Global Supply (PGS) to win the digital race in pharma and provides innovative digital solutions that unleashes the power of their people by allowing them to focus their time on value-add activities. Their solutions accelerate key PGS initiatives and help PGS sites realize benefits of continuous improvement more rapidly. Solution Design &amp; Adoption (SD&amp;A) is a multidisciplinary team that enables End to End user experience efforts from the needs assessment through delivery and experience measurement, by using collaborative methods with a user-centered focus to ensure the best digital solutions are in the hands of their PGS and Digital PGS colleagues.Their team consists of two main areas under which their disciplines are divided across. Solution Design focuses on User Research, Design Strategy, Product Design and Design Systems Framework. Solution Adoption focuses on Trainings, Communications and Change Management of their digital PGS solutions. Their team operates as a horizontal shared service to enable the full Digital PGS creation center. (Digital Manufacturing, Digital Quality, Digital Supply, &amp; Digital Site)ROLE RESPONSIBILITIESThe Sr Associate – Product Design &amp; User Experience (UX) Research colleague’s responsibilities include but are not limited to:<ul><li>Contribute to the vision and strategy of uniting all solutions under a common set of design practices, design standards, and visual language</li><li>Translate insights and strategy into tangible design proposals to inspire and advance innovation</li><li>Support design teams to scope initiatives, identify priorities, and deliver projects that have multiple stakeholders and moving parts within an Agile framework</li><li>Create design-led approaches to complex problems involving people, processes, and systems</li><li>Produce deliverables including personas, user flows, wireframes, prototypes, test plans, personas, and user journeys to communicate with stakeholders</li><li>Strong visual design skills · Monitor and track progress throughout development and maintain quality of standards</li><li>Identify and understand business context, demands, and opportunities</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s degree is required. An advanced degree is preferred</li><li>3+ years of experience in Product, Service, Interaction Design or related field</li><li>A solid understanding and demonstration of user centric design principles. An advanced proficiency with design and prototyping tools primarily Figma and design systems</li><li>Ability to collaborate actively as part of a multi-disciplinary and global teams</li><li>Enthusiasm, patience, and a solutions-oriented attitude toward any risks and challenges</li><li>Comfort with ambiguity and complex problems</li><li>Organized, able to act independently, and able to switch between different projects in a fast-paced environment</li><li>Familiarity in emergent technologies and how to apply them to different business challenges</li><li>Ability to confidently present work and to accept or provide constructive feedback</li><li>Experience utilizing Lean and Agile methodologies</li></ul>PREFERRED QUALIFICATIONS<ul><li>Agile, or equivalent certification highly desirable</li><li>Pharmaceutical or Manufacturing Industry experience a plus</li></ul>Please apply by sending your CV and a motivational letter in English.

1428 – Senior Associate, Product Design

Our client&nbsp;is seeking a highly skilled and motivated AI Engineer to join their advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in their Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.ROLE RESPONSIBILITIES<ul><li>Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes. Create test plans, test scripts, and perform data validation.</li><li>Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.</li><li>Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.</li><li>Ability to collaborate with contractors to deliver technical enhancements.</li><li>Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.</li><li>Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.</li><li>Conduct root cause analysis and address production data issues.</li><li>Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer’s projects.</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.</li><li>3+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.</li><li>Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.</li><li>Strong understanding of data structures, algorithms, and software design principles</li><li>Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1411 – Senior Associate, Data Engineer – AI and Automation

Our client&nbsp;is seeking a highly skilled and motivated AI Engineer to join their advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in their Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.ROLE RESPONSIBILITIES<ul><li>Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes.</li><li>Provides guidance and may lead/co-lead moderately complex projects.</li><li>Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes.</li><li>Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.</li><li>Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise.</li><li>Collaborate effectively with contractors to deliver technical enhancements.</li><li>Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.</li><li>Conduct root cause analysis and address production data issues.</li><li>Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer’s projects.</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.</li><li>5+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.</li><li>Strong understanding of data structures, algorithms, and software design principles</li><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1410 – Manager, Data Engineer – AI and Automation

Our client&nbsp;is seeking a highly skilled and experienced Cloud Engineer to join their team. In this role, you will be responsible for designing, implementing, and maintaining their cloud infrastructure. You will work closely with their development and operations teams to ensure the reliability, scalability, and security of their cloud-based services.ROLE RESPONSIBILITIES<ul><li>Design and Implement Cloud Solutions: Develop and deploy scalable, reliable, and secure cloud architectures using industry best practices.</li><li>Infrastructure Management: Maintain and manage cloud environments, ensuring optimal performance and cost-efficiency.</li><li>Automation: Develop automation scripts to streamline deployment, management, and monitoring of cloud resources.</li><li>Security: Implement and enforce security best practices to safeguard their cloud infrastructure and data.</li><li>Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and continuous improvement of their cloud services.</li><li>Troubleshooting: Identify and resolve technical issues related to cloud infrastructure and services.</li><li>Documentation: Maintain comprehensive documentation of cloud infrastructure, configurations, and processes.</li><li>Stay Current: Continuously research and stay up-to-date with the latest trends and advancements in cloud technology.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>Minimum of 5 years of experience in cloud engineering or a similar role.</li><li>Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong understanding of cloud architecture principles and best practices.</li><li>Experience with infrastructure-as-code tools such as Terraform or Cloud Formation.</li><li>Proficiency in scripting languages like Python, Bash, or PowerShell.</li><li>Proficiency in scripting Airflow DAGs</li><li>Solid understanding of networking concepts and protocols.</li><li>Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and teamwork abilities.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1409 – Manager, Cloud Engineer – AI and Automation

As a Senior Manager, Commercial Data Products, your role is to act as a trusted advisor for the US &amp; International commercial stakeholders and identify scalable Commercial data products to solve key business questions.You will be responsible for managing the development and deployment of Commercial data products at scale and be the digital owner of the end-to-end product roadmap.You are expected to work closely with the Digital creation centers, AIDA Commercial COEs, Data Science Industrialization &amp; Data engineering teams and Global commercial Analytics to bring the power of AI, Data and analytics to support key strategic priorities for the commercial organization.As the single point of contact for you will act as domain expert for commercial stakeholders and are expected to act as an orchestrator to drive success in delivery and adoption of these products.ROLE RESPONSIBILITIES<ul><li>Product manager for assigned Commercial data products</li><li>Process owners for scaling, enhancement and industrialization of Commercial data products</li><li>Lead product roadmap creation, development &amp; deployment for key strategic Commercial data products</li><li>Provide digital interface and support for enterprise transformation initiatives supported by Commercial data products</li><li>Partner with CMO-Commercial analytics and act as key interface with Digital/AIDA creation centers &amp; CoEs</li><li>Orchestrate delivery for key AIDA priorities through partnership with Global Commercial Analytics including the Analytics Gateway</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)</li><li>7+ years of work experience in healthcare/life sciences consulting, analytics or product management in a diverse range of projects</li><li>2+ years’ experience in application of Data/AI/ML in pharma/healthcare commercial organizations</li><li>Experience of working in complex cross-functional environment with senior stakeholders in the pharma commercial domain with very strong communication and ability to influence without authority</li><li>Experience of working in an ambiguous environment and strong problem-solving ability using quantitative approaches</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 related discipline</li><li>Hand-on experience in at least one data/analytics engineering /data science language/platforms/technology (SQL, Python, R, SAS, Alteryx, Dataiku)</li><li>Hand-on experience in developing data or AI/ML products for pharma commercial applications</li><li>Product management background in healthcare analytics/technology</li><li>Understanding of pharma commercial data landscape</li></ul>Please apply by sending your CV and a motivational letter in English.

1406 & 1407 – Senior Manager, Commercial Data Products

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

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

Θέσεις Εργασίας Ελλάδα, Πληροφορική - Σελίδα 23

application consultant / engineer

Code.Hub

1430 – sr associate, process operations & improvements

Code.Hub

1429 – manager, value insights & design strategy

Code.Hub

1428 – senior associate, product design

Code.Hub

1411 – senior associate, data engineer – ai and automation

Code.Hub

1410 – manager, data engineer – ai and automation

Code.Hub

1409 – manager, cloud engineer – ai and automation

Code.Hub

1406 & 1407 – senior manager, commercial data products

Code.Hub

1404 – senior, ai and dataops product manager

Code.Hub

1399 – senior associate, solution engineer

Code.Hub

Θέσεις Εργασίας Ελλάδα, Πληροφορική - Σελίδα 23

application consultant / engineer

Code.Hub

1430 – ​​sr associate, process operations & improvements​

Code.Hub

1429 – manager, value insights & design strategy

Code.Hub

1428 – senior associate, product design

Code.Hub

1411 – senior associate, data engineer – ai and automation

Code.Hub

1410 – manager, data engineer – ai and automation

Code.Hub

1409 – manager, cloud engineer – ai and automation

Code.Hub

1406 & 1407 – senior manager, commercial data products

Code.Hub

1404 – senior, ai and dataops product manager

Code.Hub

1399 – senior associate, solution engineer

Code.Hub

1430 – sr associate, process operations & improvements