Data & Systems Lead - AI-Ready Manufacturing Insights

Pfizer

Michigan

On-site

USD 140,000 - 190,000

Full time

22 hours ago
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Job summary

Pfizer is seeking a DIS Team Lead to advance the site data strategy, standards, governance, and compliant data foundations across manufacturing operations.

You will oversee data integration, historians, and data platforms, drive AI-enabled analytics, and lead a cross-functional team to ensure inspection readiness and data reliability.

This role partners with global Digital & Engineering to deliver measurable value and foster continuous data maturity improvements across the site.

Qualifications

  • Develop and implement site-end data strategy in line with network direction.
  • Enforce data standards for structure, storage, and usage with compliance.
  • Ensure data work follows quality, validation, cybersecurity, and regulatory SOPs.
  • Represent site in cross-site standards harmonization and enterprise model evolution.

Responsibilities

  • Oversee core system integrations ensuring secure data flow and connectivity.
  • Develop and execute site data enablement roadmap with funding and resources.
  • Identify and address data connectivity and quality gaps with escalation when needed.
  • Validate asset hierarchy, equipment context, and batch identifiers in contextualization layer.
  • Lead lifecycle management of site historians and data platforms for reporting and analytics.
  • Manage local app development and connectivity to data sources; document mappings.

Skills

Data architecture
Data governance
System integration
Industrial data modeling
AI readiness
Leadership
Cross-functional collaboration

Tools

ISA-95
Historians
Data integration tools

Job description

Pfizer is seeking a DIS Team Lead to advance the site data strategy, standards, governance, and compliant data foundations across manufacturing operations.

You will oversee data integration, historians, and data platforms, drive AI-enabled analytics, and lead a cross-functional team to ensure inspection readiness and data reliability.

This role partners with global Digital & Engineering to deliver measurable value and foster continuous data maturity improvements across the site.

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