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You will build and manage R&amp;D data solutions, leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This includes data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will use your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will determine data storage and optimum storage requirements, and prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.As a Data Solutions Engineer, your expertise in the principles and concepts of the discipline, along with comprehensive knowledge of other disciplines, will enable you to guide projects across the division. Your ability to develop and manage plans will help achieve objectives, interpret internal and external business challenges, and recommend best practices for improvements. While managing project environments, you will anticipate and troubleshoot roadblocks and collaborate with teams to achieve division targets.Your hard work and focus will help Pfizer achieve new milestones and help patients across the globe.How You Will Achieve It<ul><li>Design, develop, and deliver projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes.</li><li>Engage with business stakeholders to prioritize business requirements and identify opportunities for technical synergy.</li><li>Develop technical solutions aligned with business requirements across the Pfizer AIDA R&amp;D organization.</li><li>Collaborate with Platform teams for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design.</li><li>Partner with the AIDA solutions architecture team to ensure solutions are delivered with long-term viability in mind.</li><li>Ensure compliance with regulatory requirements and Pfizer software development lifecycle standards.</li></ul>Additional Key Responsibilities:<ul><li>Data Architecture: Co-design and implement scalable data architectures for dynamic business use-cases.</li><li>Data Quality: Ensure data accuracy and integrity across all systems.</li><li>ETL Processes: Design and develop ETL processes to support data integration and analytics.</li></ul>BASIC QUALIFICATIONS <ul><li>Bachelor's Degree with 5+ years of experience with data engineering</li><li>Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data</li><li>Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights</li><li>Proven experience engineering end-to-end data solutions which cut across data acquisition, data lakes, web based analytical solutions</li><li>Strong collaboration and communication skills within and across teams</li><li>Ability to work independently and as part of a team</li></ul>PREFERRED QUALIFICATIONS<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Graduate degree in either a technical or management discipline</li><li>Knowledge of the pharmaceutical industry, preferably within Research and Development</li></ul> Work Location Assignment:&nbsp;Hybrid

Manager, Data Solutions Engineer

As a Senior Manager, Data Solutions Engineer, your advanced knowledge of the principles and concepts in the discipline, along with comprehensive knowledge of other disciplines, will enable you to lead complex projects across the division. Your ability to develop and manage plans will facilitate achieving objectives, interpreting internal and external business challenges, and recommending best practices for improvements. While managing complex project environments, you will be able to anticipate and troubleshoot roadblocks and influence teams to achieve targets for the division.You will help us build and manage R&amp;D data solutions while leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This will include working on data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will leverage your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will be relied on to determine data storage and optimum storage requirements. You will prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.Additionally, you will manage contractors for projects when needed, ensuring that external resources are effectively integrated into the team and project goals are met.It is your hard work and focus that will help Pfizer achieve new milestones and help patients across the globe.How You Will Achieve It<ul><li>Design, develop, lead, and deliver&nbsp;projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes</li><li>Partner with other Pfizer Digital teams&nbsp;to define and execute technology-focused Proof of Concepts (POCs) using innovative technologies to advance Pfizer’s current capabilities</li><li>Engage with business stakeholders&nbsp;to help lead the prioritization of business requirements while identifying opportunities for technical synergy</li><li>Develop technical solutions&nbsp;aligned with business requirements across the Pfizer AIDA R&amp;D organization</li><li>Work collaboratively with Platform teams&nbsp;for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design</li><li>Partner with the AIDA solutions architecture team&nbsp;to ensure solutions are delivered with long-term viability in the forefront</li><li>Ensuring compliance&nbsp;with regulatory requirements and Pfizer software development lifecycle standards</li></ul>Additional Key Responsibilities:<ul><li>Data Architecture: Oversee the design and implementation of scalable data architectures.</li><li>Data Quality: Ensure data accuracy and integrity across all systems.</li><li>ETL Processes: Design and manage ETL processes to support data integration and analytics.</li></ul>BASIC QUALIFICATIONS <ul><li>Bachelor's Degree</li><li>7+ years of experience with data or software engineering</li><li>Demonstrated success embedding algorithms in production applications.</li><li>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><li>Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data</li><li>Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights</li><li>Proven experience engineering end to end data solutions which cut across data acquisition, data lakes, web based analytical solutions.</li><li>Strong collaboration and communication skills within and across teams</li><li>Ability to work independently and as part of a team</li></ul>PREFERRED QUALIFICATIONS<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Graduate degree in either a technical or management discipline</li><li>Management consultant experience</li><li>Knowledge of the pharmaceutical industry, preferably within Research and Development</li></ul> Work Location Assignment:&nbsp;Hybrid

Senior Manager, Data Solutions Engineer

The Workforce Platforms organization delivers solutions to support Pfizer’s enterprise applications, platforms, and critical business processes. At Pfizer, we believe that every individual holds a unique power that can be harnessed for a greater purpose. As an Associate in End Point Engineering, you will have the opportunity to use your skills and expertise to make a significant impact on global health. You will be part of a dynamic team that is at the forefront of developing innovative solutions in the pharmaceutical industry. Your role will be instrumental in driving our mission forward, contributing to our goal of creating a healthier world.How You Can "Outdo Yesterday"<ul><li>You are expected to support and manage the LRS VPSX and MFPsecure solutions</li><li>You will develop and maintain system documentation, including technical specifications, program logic, and flowcharts.</li><li>You will collaborate with other Pfizer teams to ensure seamless and efficient operations of Pfizer’s Managed Print devices.</li><li>In this role, you will conduct system analyses, evaluating the effectiveness of current solutions, and optimizing device performance to minimize any support escalations from our business users.</li><li>You will ensure compliance with company policies and procedures, as well as regulatory requirements.</li></ul>Role Responsibilities:<ul><li>In this role you will be required to troubleshoot enterprise printers remotely and resolve any issues that arise</li><li>In this role, you will contribute to project tasks and milestones, demonstrating your ability to organize and manage your work effectively to meet set deadlines.</li><li>You will have the opportunity to learn and apply basic team effectiveness skills within your immediate work team, fostering a collaborative and productive work environment.</li><li>Your role will require you to make decisions within limited options to resolve basic problems. While your decision-making authority may be limited, your input will be highly valued and contribute to the overall success of the team.</li><li>You will work in a structured environment, utilizing established procedures to ensure consistency and quality in your work. When in doubt, you are encouraged to ask for guidance from your peers.</li><li>Your work will be regularly reviewed for technical judgment, completeness, and accuracy. This feedback will help you to continually improve and develop your skills and knowledge.</li><li>You will exercise judgment in your role, with a reliance on your supervisor for guidance and support. This will allow you to grow in your role while ensuring that your work aligns with the team's objectives.</li><li>As an Associate in End Point Engineering, your contributions will be essential to the success of our projects. Your ability to manage your work, collaborate with your team, and make informed decisions will make a significant impact on our operations.</li><li>Your willingness to learn, adapt, and grow in a structured environment will be a key factor in your success in this role. Your work will not only be valued but will also be instrumental in driving our team forward.</li><li>You will have the opportunity to demonstrate your technical judgment, and your work will be reviewed regularly to ensure its completeness and accuracy. This will provide you with the opportunity to continually improve and develop your skills.</li><li>Your ability to exercise judgment, with a reliance on your supervisor, will be a key factor in your success in this role. This will allow you to grow professionally while ensuring that your work aligns with our team's objectives.</li></ul>Basic Qualifications:<ul><li>Academic degree in Computer Science, Information Systems, or equivalent experience.</li><li>Up to three years of experience in endpoint engineering, IT infrastructure, or a similar role.</li><li>Proven ability to troubleshoot, follow processes, and communicate with end users.</li><li>Willingness to learn and keep abreast of tools, techniques, and process improvements.</li></ul>Preferred Qualifications:<ul><li>You possess strong technical skills, with proficiency in various end point engineering tools and technologies.</li><li>Experience with virtual print software such as LRS VPSX and MFPsecure.</li><li>You demonstrate excellent problem-solving skills, with the ability to troubleshoot complex technical issues.</li><li>You have a proven track record of managing projects, showcasing your ability to meet deadlines and deliver results.</li><li>You possess strong communication skills, with the ability to explain technical concepts to non-technical audiences.</li><li>You have experience working in a team-oriented environment, demonstrating your ability to collaborate effectively with diverse groups of people.</li><li>You are committed to continuous learning and professional development, staying up to date with the latest trends and advancements in the field of end point engineering.</li></ul>&nbsp;Work Location Assignment:&nbsp;Hybrid

Associate, End Point Engineering

As the Director of Research &amp; Development (R&amp;D) Artificial Intelligence (AI) Innovation Engineering, you will be a thought leader and subject matter expert in the design and delivery of Pfizer R&amp;D AI applications, driving the creation and delivery of innovative solutions to complex problems in the research and development pipeline.&nbsp;Your role will involve leveraging an environment of experimentation to influence direction, identifying multiple solutions and innovative options to solve uniquely complex problems with long-term effects on R&amp;D. You will exercise foresight and judgment in initiating and guiding complex projects in unprecedented situations.In this position working alongside AIDA R&amp;D AI and Data Science leaders, you will help shape and steer the overarching vision and strategy for AI and Data innovative advancements in support of R&amp;D, prototyping new technologies to address challenges and seize opportunities. You will collaborate effectively with internal teams and external partners, aligning efforts to achieve business objectives and meet customer needs.The ideal candidate will have a proven track record of developing and executing strategic plans for groundbreaking AI/ML and innovation products and utilizing data and customer insights to inform decision-making. Your strong background in AI product creation and expertise in taking products from ideation to delivery using automation and modern practices will be essential. You will thrive in managing complex, uncertain environments, driving ideas to products and focusing on impactful outcomes.Collaboration and partnership to achieve business objectives and meet customer needs will be key to this role’s success. You will build strong relationships with internal stakeholders, including Client Partners, the AI Center of Excellence, Platforms and Products teams, and the R&amp;D Creation Center, ensuring alignment with broader organizational strategies.&nbsp;&nbsp;This role demands a passion for scaling technology initiatives and working in a fast-paced, try-destroy-retry environment within the domain of Research and Development. Your unwavering commitment to accomplishing ambitious goals that will propel the company forward will be instrumental in driving innovation, efficiency, and success.ROLE RESPONSIBILITIES Leadership <ul><li>Influence the product roadmaps for data science and creation centers, focusing on developing and maintaining robust, scalable AI capabilities.</li><li>Stay on the forefront of technological advancements in the biopharma and life sciences space.</li><li>Cross-functional Collaboration: Collaborate with researchers, software engineers, and data science teams to create tools that better integrate research and practices.</li></ul>Technical Vision and Strategy<ul><li>Develop and execute a strategic roadmap for the long-term technical platform vision, ensuring alignment with the overall technological vision and objectives.</li><li>Drive continuous innovation and the adoption of new research and AI technologies to improve product experiences.</li><li>Technical Excellence: Maintain a standard of technical excellence, ensuring adherence to best practices in architecture, machine learning, and platform utilization.</li></ul>Trust and Security<ul><li>Foster a culture of trust and ethical AI practices, contributing to a team committed to deploying secure, state-of-the-art AI solutions that comply with global data protection and privacy standards.</li><li>Develop proof of concepts (POCs) and provide a blueprint for implementation.</li></ul>Problem-Solving<ul><li>Utilize AI/ML solutions to address complex, real-world challenges, applying theoretical knowledge to create and improve practical, impactful products and services.</li><li>Focus on accelerating delivery, moving the broader team forward, and gamifying innovation.</li><li>Lead by example and recognize success and failure.</li><li>Partner Collaboration: Collaborate with partner organizations to develop frameworks, data foundations, and architectures supporting the strategic vision.</li></ul>QUALIFICATIONS <ul><li>BA/BS required &nbsp;</li><li>10+ years of demonstrated progressive experience in AI/ML, Software Engineering, or Statistics.&nbsp;</li></ul>Leadership Experience:<ul><li>5+ years in technology leadership roles, including experience leading engineering or data science teams.</li><li>Demonstrated success in guiding and managing sizable, multifaceted technology teams.</li><li>Expertise in Research and Development Innovation:</li><li>Deep understanding of research and development domains with a focus on innovative technical delivery and thought leadership.</li></ul>Communication and Interpersonal Skills:<ul><li>Exceptional communication ability, fostering effective collaboration and empathy with diverse organizational and external stakeholders.</li><li>Ability to engage and motivate a distributed, mission-oriented technical team.</li></ul>Business Acumen and Strategic Alignment:<ul><li>Proficient in aligning technology strategies with the organization's broader business goals and objectives.</li><li>Demonstrates strong business insight.</li><li>Analytical and Problem-Solving Proficiency:</li><li>Robust analytical skills coupled with the ability to effectively and efficiently solve complex technology challenges.</li><li>Works within budget constraints to deliver innovative ideas with clear delivery milestones.</li></ul>Multidisciplinary Team Experience:<ul><li>History of working with and understanding the unique needs of organizations and teams across multiple disciplines.</li><li>Demonstrates a commitment to appreciating cultural, structural, and technical diversity.</li></ul>&nbsp;Work Location Assignment:&nbsp;Hybrid

Director, AIDA R&D AI Innovation Engineer

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.What You Will AchieveYou will help Pfizer build its information technology solutions. You will leverage your technical skills to design, develop and implement IT solutions which satisfy the short term or long terms needs of Pfizer. You will work on systems architecture, network systems and application infrastructure to deliver results.As a Data Science &amp; AI Industrialization DevOps Senior Manager, you will be responsible for architecting and implementing AI solutions and reusable components, with a strong emphasis on incorporating DevOps practices. You will drive the seamless integration of AI applications into the production environment by implementing best practices for CI/CD, infrastructure automation, containerization, configuration management, and monitoring. Your expertise in DevOps will ensure the scalability, reliability, and ongoing operations of AI solutions. Additionally, you will provide strategic input into the AI ecosystem and platform strategy from a DevOps perspective, fostering innovation and collaboration. Join us to make an impact on patient health through the application of cutting-edge technology and collaboration with a diverse team.How You Will Achieve It<ul><li>Design, implement, and maintain infrastructure and tools for software development and deployment using IaC tools.</li><li>Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery.</li><li>Collaborate closely with developers, testers, and operations teams to facilitate seamless software delivery.</li><li>Monitor system health and performance, proactively identifying and resolving issues.</li><li>Perform root cause analysis to diagnose and fix production errors.</li><li>Implement logging and monitoring tools to gain insights into system behavior.</li><li>Train and guide junior developers on DevOps principles, fostering their professional growth.</li><li>Foster a collaborative learning environment within the team, promoting knowledge sharing and continuous learning.</li><li>Communicate the value of DevOps practices and reusable components to stakeholders, highlighting their impact on business outcomes.</li><li>Collaborate with stakeholders to understand their needs, aligning DevOps practices and reusable components with their goals.</li><li>Continuously improve and optimize DevOps processes and workflows, leveraging feedback and lessons learned.</li><li>Stay up to date with the latest trends in DevOps, AI, and data science, and share knowledge across the organization.</li><li>Provide strategic input to the AI ecosystem, contributing to platform evolution and new capability development.</li><li>Collaborate with AI development teams to integrate reusable components into production AI solutions.</li><li>Partner with the AIDA Platforms team to enforce best practices for reusable component architecture and engineering principles.</li></ul>QualificationsMust-Have<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 relevant work experience in DevOps or a related field.</li><li>Strong scripting skills in languages like Python or Bash.</li><li>Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Chef.</li><li>Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.)</li><li>Proficiency in Git for version control of infrastructure code and application code.</li><li>Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack.</li><li>Knowledge of infrastructure security best practices and experience with security tools.</li><li>Experience with automated testing frameworks and tools.</li><li>Familiarity with database technologies and SQL query optimization.</li><li>Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.</li><li>Hands-on experience working in Agile teams, following Agile processes and practices.</li><li>Self-directed learner with a strong desire to continuously improve coding skills.</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>Nice-to-Have<ul><li>Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required)</li><li>Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack.</li><li>Knowledge of infrastructure security best practices and experience with security tools.</li><li>Experience with automated testing frameworks and tools.</li><li>Familiarity with database technologies and SQL query optimization.</li><li>Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.</li></ul>

Data Science Industrialization, DevOps Senior Manager

We are seeking a highly skilled and experienced Cloud Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining our cloud infrastructure. You will work closely with our development and operations teams to ensure the reliability, scalability, and security of our 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 our cloud infrastructure and data.</li><li>Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and continuous improvement of our 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>&nbsp;&nbsp;Please apply by sending your CV and a motivational letter in English. Work Location Assignment:&nbsp;Hybrid

Manager, Cloud Engineer – AI and Automation

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

Manager, Data Engineer – AI and Automation

Pfizer is seeking a highly skilled and motivated AI Engineer to join our 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 our 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.&nbsp;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.&nbsp;</li><li>Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.&nbsp;</li><li>Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.&nbsp;&nbsp;</li><li>Ability to collaborate with contractors to deliver technical enhancements.&nbsp;</li><li>Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.&nbsp;</li><li>Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.&nbsp;</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.&nbsp;</li><li>Conduct root cause analysis and address production data issues.&nbsp;</li><li>Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.&nbsp;</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.&nbsp;</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.&nbsp;</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.&nbsp;</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.&nbsp;</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.&nbsp;</li><li>3+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.&nbsp;</li><li>Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.&nbsp;</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.&nbsp;</li><li>Strong understanding of data structures, algorithms, and software design principles&nbsp;</li><li>Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.&nbsp;</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.&nbsp;</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.&nbsp;</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.&nbsp;</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).&nbsp;</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.&nbsp;</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&nbsp;</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.&nbsp;</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.&nbsp;</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.&nbsp;</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.&nbsp;</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.&nbsp;</li></ul>&nbsp;&nbsp;Please apply by sending your CV and a motivational letter in English. Work Location Assignment:&nbsp;Hybrid

Senior Associate, Data Engineer – AI and Automation

Pfizer’s purpose, breakthroughs that change patients’ lives, is rooted in being a science driven and a patient focused company. Digital, AI, data, and analytics are central to driving innovation at Pfizer.The Senior Manager, Product Management &amp; Delivery will be on a team responsible for maintaining the overall vision for the different data products supporting our Enabling Functions businesses.This Senior Manager, Product Management &amp; Delivery position will work closely with our business leads and client partners to determine opportunities and set roadmaps that drive measurable innovation and impact.This position will work closely with Artificial Intelligence Data &amp; Analytics (AIDA) EF Product &amp; Delivery Lead on developing standard portfolio processes, align roadmap priorities with Solution Delivery managers and guide Product Analysts.&nbsp;&nbsp;ROLE RESPONSIBILITIES Stakeholder Engagement:<ul><li>Collaborate with prospective users and clients to understand and anticipate their needs and translate them into product requirements.</li><li>Regularly communicate with stakeholders to gather feedback and ensure their needs are being met.</li><li>Effectively communicate to AIDA EF leadership when required to manage stakeholder expectations.</li><li>Monitoring and evaluating product progress at each stage of the process, updating Objectives &amp; Key Results (OKRs) in the Agile Measurement Framework.</li><li>Serve as a single point of contact and accountability to the different business you serve.</li><li>Shapes thinking on how technology solutions support the goals of the business.</li><li>When required Identify, manage, and bring to resolution all project risks/ issues.</li><li>Escalate major project risks to scope, budget, or timeline to appropriate escalation points in a timely manner.</li></ul>Vision and Strategy:<ul><li>Develop and communicate the product vision and strategy to stakeholders and the team. Ensure alignment with business goals and customer needs.</li><li>Creating and maintain a product road map based on this vision.</li></ul>Product Development &amp; Continuous Improvement:<ul><li>Drive the execution of all processes in the product lifecycle, including product discovery, planning, requirements and roadmap development, and product launch.</li><li>Create product strategy documents that describe business cases, high-level use cases, technical requirements, value propositions.</li><li>Identify areas for improvement and implement changes to enhance the product and the development process.</li><li>Establish best practices and ways of working that measure team efficiency and manages capacity.</li><li>Actively monitor &amp; evaluate emerging technologies with an eye on how it could be leveraged to improve your digital products and provide additional benefit to the customer.</li></ul>Interpersonal and Administration:<ul><li>Strong interpersonal, communication, influencing, analytical and problem-solving skills.</li><li>Ability to compose and present material to communicate difficult or complex concepts and gain consensus.</li><li>Partner with the other Digital organizations to align on broader strategies and best practices and ensure consistent use.</li><li>Manage product budget and expenses ensuring that product is financially viable deploying resources in an appropriate manner to meets customer needs.</li><li>Build, grow and support Solution Delivery managers and Product Analysts through coaching, mentoring and giving feedback.</li></ul>Basic Qualifications:<ul><li>BSc degree is required.</li><li>6+ years of experience.</li><li>Proven success as a Data Product Manager / Owner.</li><li>5+ years of management experience leading project teams and technology delivery functions.</li><li>Experience in product operating model with strong understanding of Agile methodologies, excellent communication and leadership skills, ability to manage multiple priorities, and strong problem-solving skills.</li><li>Demonstrated experience at owning and managing a significant organizational or project budget.</li><li>Demonstrated effective collaboration with teams across an organization to drive processes and operations.</li><li>Demonstrated ability to quickly gain credibility with senior management and effectively influence and collaborate with others.</li></ul>Nice to have:<ul><li>An advanced degree.</li><li>Knowledge of pharmaceutical industry.</li><li>Working knowledge of finance, quality assurance, legal and compliance business functions.</li><li>Demonstrated experience in scoping, defining and managing projects including determining project viability, developing rigorous project estimates, developing and establishing a project plan, budget defining technology solutions, developing RFPs, evaluating vendor responses, negotiating SOWs and identifying resource requirements.</li><li>Knowledge of visualization tools such as report builders, ad-hoc queries, OLAP, dashboards (Tableau, Spotfire, Power BI etc.).</li><li>Physical data architecture options such as enterprise data warehouse, data federation, hub &amp; spoke architectures, independent data marts.</li><li>Data integration tools and techniques such as ETL (Extract Transform Load), CDC (Change Data Capture).</li><li>Relevant related areas such as data quality, master data management, metadata management, collaboration and business process management.</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

Senior Manager, Product Management & Delivery

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains through data engineering, data science, analytics and AI? Then join Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of data engineering, data science, analytics and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data science and advanced analytics to change patients’ lives. &nbsp;The Commercial Domain Delivery team support the Pfizer Commercial Organization as the AIDA experts in data &amp; AI strategy, product design, development, &amp; delivery.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.&nbsp;&nbsp;Work Location Assignment:&nbsp;Hybrid

Senior Manager, Commercial Data Products

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