AI-Driven Data & Systems Lead

Pfizer Inc.

Kalamazoo (MI)

On-site

USD 139,000 - 232,000

Full time

7 days ago
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Benefits offered by this job

401(k) matching
Health benefits

Job summary

Pfizer Inc. is seeking a Site Digital and Automation Data, Integration & Systems Team Lead to drive the site data strategy, governance, and system integrations in a regulated manufacturing environment.

You will own the data enablement roadmap, ensure AI-ready data foundations, and partner with global teams to scale data-driven initiatives. Responsibilities include leading data architecture, platform lifecycle, and cross‑functional collaboration to deliver compliant analytics, reporting, and

Qualifications

  • Bachelor’s degree with at least 6 years of experience; OR a master’s degree with at least 5 years; OR a PhD with 1+ years.
  • Experience in Digital, Automation, IT systems, or related technical environments, preferably in a regulated manufacturing setting.
  • Experience leading technical teams and programs within a matrix structure and with change management.
  • Knowledge of GMP, lifecycle governance, and validated data environments.

Responsibilities

  • Lead site end‑to‑end data strategy, standards, governance, and data maturity across the DIS scope.
  • Oversee data integration, historians, data platforms, and local applications to enable compliant reporting and analytics.
  • Partner with cross‑functional teams to translate business problems into data requirements for AI/analytics initiatives.
  • Lead incident, deviation, and data integrity activities to maintain validated state.

Skills

Data architecture
Team leadership
GxP compliance
Cross-functional collaboration
AI/Analytics enablement

Education

Bachelor’s degree + 6+ years
Master’s degree + 5+ years
PhD + 1+ years

Job description

Pfizer Inc. is seeking a Site Digital and Automation Data, Integration & Systems Team Lead to drive the site data strategy, governance, and system integrations in a regulated manufacturing environment.

You will own the data enablement roadmap, ensure AI-ready data foundations, and partner with global teams to scale data-driven initiatives. Responsibilities include leading data architecture, platform lifecycle, and cross‑functional collaboration to deliver compliant analytics, reporting, and

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