Director, PGS and Enterprise Solutions Data Management & Engineering

Pfizer

1d • $176,600 - $294,300 • Hybrid

About The Position

Pfizer Global Supply (PGS) is prioritizing trusted, AI-ready data for medicine production, testing, and delivery. The newly formed PGS & Enterprise Solutions Data Products & Platforms team aims to make data self-service, accessible, timely, and contextually meaningful for both humans and machines. This team is responsible for data strategy, standards, contextualization, semantics, operations, and the converged data platform for PGS and Enterprise Solutions, collaborating closely with PGS business data owners, solution teams, and the site network. The Director, Data Management & Engineering leads the function responsible for data quality and trust across PGS and Enterprise Solutions. This role oversees the entire data lifecycle, from source systems to consumption, ensuring data completeness, accuracy, traceability, and usability. In partnership with the PGS Data, Analytics & AI Transformation organization and Digital solution teams, this function operationalizes trusted, contextualized data at scale by building and managing data pipelines, engineering data quality controls, and certifying data products. It serves as the operational backbone of an AI-ready data foundation. The role manages a distributed team, supported by partner resources, within a GxP-regulated environment where data integrity evidence is a critical design requirement.

Requirements

• Bachelor’s degree in Engineering, Computer Science or a related technical field.
• 8+ years of progressive experience, including 3+ years leading technical teams (7+ years with an advanced degree).
• Demonstrated experience owning data pipeline or integration estates at enterprise scale, including run-state accountability.
• Strong grounding in data quality engineering, lineage, and observability practice.
• Experience leading distributed teams across multiple geographies and time zones.
• Experience managing partner or vendor delivery alongside internal teams.
• Excellent written and verbal communication, with the ability to explain technical positions to senior non-technical stakeholders.
• Proven ability to influence and align senior stakeholders across business and technology organizations.
• Demonstrates a breadth of 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.
• Permanent work authorization in the United States.

Nice To Haves

• Experience in a GxP-regulated manufacturing environment, with working knowledge of 21 CFR Part 11, EU GMP Annex 11, GAMP 5 and ALCOA+.
• Exposure to data product thinking, data contracts, and certification or trust frameworks.
• Familiarity with manufacturing and operational data sources: historians, MES, LIMS, SCADA, and ERP.
• Experience with modern data platform tooling, including cloud data warehousing, streaming, and orchestration.
• Understanding of ISA-95 and ISA-88 and their application to manufacturing data.
• Experience standing up or materially reshaping a function rather than inheriting a settled one.
• Global cultural awareness; comfort operating across time zones.
• Some travel expected.

Responsibilities

• Set objectives for and lead the design, build, and operation of the data pipeline and integration estate connecting source systems to enterprise consumption (manufacturing, quality, supply chain, ERP).
• Own ingestion and integration engineering from source through to MES, historian, and enterprise platforms, adhering to architecture and integration standards.
• Establish and maintain DataOps practices, including release management, environment control, change and version management, and automated deployment.
• Own run-state performance, including monitoring, incident management, service levels, and on-call arrangements, managing outsourced work with partner resources.
• Lead data quality engineering, including rule definition and enforcement, anomaly detection, remediation, and measurement.
• Own the lineage and evidence chain from source to consumption, ensuring ALCOA+ principles are met and data products can withstand regulatory scrutiny.
• Own the technical certification of data products into PGS Trusted Data, acting as an operational interface to the PGS Data, Analytics & AI Transformation organization.
• Establish observability across pipelines and data products to detect failures, drift, and degradation before consumers are impacted.
• Ensure all pipelines and data products comply with 21 CFR Part 11, EU GMP Annex 11, GAMP 5, and applicable data integrity requirements.
• Maintain readiness for evolving regulatory expectations on AI, including demonstrable lineage from source to decision output.
• Collaborate with the Data Platforms team on the interface between the platform environment and data flow.
• Partner with Delivery & Operations Excellence on demand shaping and sequencing, and with Domain Data Solution Leads to define and meet agreed measures.
• Set the direction for how the function aligns with enterprise-central capabilities (Enterprise Data Fabric, AI/ML platform, Cyber and OT Security) and represent PGS and Enterprise Solutions requirements in those forums.
• Build, lead, and develop a distributed engineering team across multiple geographies, including recruitment, capability development, and succession planning.
• Manage partner and contractor capacity, balancing internal and contracted delivery.
• Represent the function with senior stakeholders across Digital, PGS, and the Chief Data Officer organization.

Benefits

• 401(k) plan with Pfizer Matching Contributions
• Additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits to include medical, prescription drug, dental and vision coverage
• Relocation assistance may be available based on business needs and/or eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Director