AI Data Engineering (Secondment 12-18 Months)

WHY PATIENTS NEED YOU

The AI Data Engineer is responsible for building and maintaining the trusted data foundations required for AI, analytics, automation, and operational decision support across the Kalamazoo site. This role connects data from manufacturing and business systems, builds reliable data pipelines, creates reusable data models, and supports the technical enablement needed to move AI opportunities from concept to scalable business value.

WHAT YOU WILL ACHIEVE

This role partners closely with Manufacturing, Supply Chain, Quality, Engineering, Digital, Automation, IMEx/CI, Data Science, and Compliance partners to ensure data is available, reliable, governed, and fit for use. The role is a hands-on builder and technical translator who helps convert business problems into usable data products and integration patterns.

HOW YOU WILL ACHIEVE IT

• •Serve as a Front Door strategic partner to assigned site organizations for data enablement; understand each area's process flow and data sources firsthand.
• •Assess proposed AI, analytics, and automation use cases to determine whether required data is sufficiently available, reliable, accessible, appropriately governed, and fit for purpose before technical build begins.
• •Design, build, and maintain data pipelines and integrations across Core and Local Systems, sensors, Power BI/Tableau, quality systems, and other approved operational data sources.
• •Create clean, reusable, well-documented data models and data assets that accelerate AI, analytics, automation, and reporting use cases.
• •Build or support APIs, system integrations, data transformations, and data access patterns aligned with enterprise standards.
• •Partner with business process owners and data owners to define requirements for data availability, latency, quality, lineage, access, support, and long-term ownership.
• •Implement data quality checks, issue resolution processes, and monitoring to improve reliability and reduce manual data correction or reconciliation work.
• •Support AI model development and deployment by preparing analytical datasets, features, source-system mappings, and production-ready data flows.
• •Maintain documentation for data sources, data definitions, transformation logic, dependencies, controls, and handoffs to support teams.
• •Contribute to reusable site data architecture patterns that improve speed to value and reduce one-off solutions.

Portrays Pfizer Leader Behaviors:

• •Functional/Technical Knowledge: Carries out work activities with limited direction. Seeks to understand the difference between high and low value-added work and strives to adjust own and teams appropriately. Negotiates work interdependencies and is responsible about meeting expectations. Work decisions consider broader project goals and the responsibilities of others. Maintains and advocates high work standards. Shows awareness of and sensitivity to external environment.
• •Inclusive Environment: Welcomes new members and helps others feel welcome. Advocates for inclusion of others. Share information with teammates/work partners. Works well with people who have different ideas, perspectives and cultural backgrounds. Show empathy and understand the importance of being sensitive to others' feelings. Suggest functions, business units and candidates to be included in the work of the group. Anticipates and considers stakeholder interests prior to implementation attempts. Appreciates how all colleagues' perspectives and differences add value to the team.
• •Open Discussion and Debate: Seeks and demonstrates understanding of comparative viewpoints, alternative ideas and approaches. Utilizes integrative (non-zero-sum) conflict management skills. Solicits feedback. Responds productively when challenged.
• •Impact and Organizational Contribution: Contributes to the completion of specific programs and projects. Failure to achieve results causes serious delays in meeting departmental objectives. Ensure that projects are completed on schedule following established procedures and schedules. Erroneous decisions or recommendations or failure to achieve results might cause delays in program schedules and result in the allocation of more resources. Motivates others, generating commitment and a shared sense of purpose.
• •Manage Change: Anticipates and drives changes and suggests ways for the group to work with or exploit them. Suggests for ways to adapt processes and procedures to a variety of situations and changing circumstances. Ask for advice and guidance in finding ways to improve work processes.
• •Develop People: Initiates feedback in support of the group's work. Partners with leadership and team members to support others'/own development. Freely transfers views, perspectives, knowledge. Knowing own strengths and developmental needs, proactive in addressing. Clear with others about needs for support. Seeks opportunities to expand responsibilities and develop skills.
• •Align Across Pfizer: Asks "Who else should know?" Comprehends differing thought systems of colleagues from other business units. Understands how own role contributes to PGS/Pfizer vision. Employs growing knowledge of the Pfizer organization to suggest and promote alliances and collaboration with other business units. In words and behavior, supports decisions arrived after open discussion and debate. Shares innovations, ideas and best practices that may benefit others.

QUALIFICATIONS

Must-Have

• •Applicant must have a bachelor's degree with at least 5+ years of experience; OR a master's degree with at least 3+ years of experience; OR a PhD with 0+ years of experience; OR as associate's degree with 8+ years of experience; OR a high school diploma (or equivalent) and 10+ years of relevant experience.
• •Experience building or supporting data pipelines, integrations, APIs, data models, SQL queries, dashboards, or analytics-ready datasets.
• •Experience working with manufacturing, supply chain, quality, laboratory, ERP, MES, historian, or operational data sources.
• •Strong problem-solving, documentation, communication, and stakeholder engagement skills.

Nice-to-Have

• •Experience with SAP, MES, LIMS, CMMS, historians, Snowflake, SQL, Python, Power BI/Tableau, APIs, cloud data platforms, or data orchestration tools preferred.
• •Experience in pharmaceutical, GMP, biologics, API, sterile manufacturing, or another regulated environment preferred.
• •Knowledge of data governance, data integrity, cybersecurity, validation, metadata, lineage, and responsible AI data practices preferred.

PHYSICAL/MENTAL REQUIREMENTS

• •Normal office role with frequent computer-based work, meetings, data review, business process analysis, and collaboration with site business areas.
• •Ability to perform complex problem solving, prioritization, risk assessment, quantitative analysis, and written documentation.
• •Periodic presence in manufacturing, laboratories, warehouse, or operational areas may be required; must follow applicable site safety, gowning, data integrity, and GMP expectations.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

• •May require support outside normal business hours for critical site priorities, project milestones, production or compliance impacts, or executive reviews.
• •Occasional travel may be required for site, network, vendor, or enterprise alignment meetings.

ORGANIZATIONAL RELATIONSHIPS

Kalamazoo Manufacturing, Supply Chain, Quality, Engineering, Maintenance, Process Automation, Finance, Digital, IMEx/Operational Excellence, Data/Analytics, Cybersecurity, Validation, Enterprise AI/Product teams, and external partners as applicable.

RESOURCES MANAGED

• •This role may mentor peers, contractors, or matrix technical resources but does not require direct reports unless assigned.
• •Accountable for assigned data products, integration deliverables, data quality improvements, and technical documentation.

OTHER JOB DETAILS

Last Date to Apply for Job: Oct