Director, PGS and Enterprise Solutions Data Management & Engineering

ROLE SUMMARY Pfizer Global Supply (PGS) is putting trusted, AI-ready data at the heart of how medicines are made, tested and delivered. PGS & Enterprise Solutions Data Products & Platforms is a newly formed team with a single mission: make our data self-service and accessible, available at the right latency, and contextualized so that its meaning can be interpreted by people and by machines.

Spanning Manufacturing, Quality and Supply Chain, the team owns data strategy and standards, data contextualisation and semantics, data operations, and the converged data platform estate for PGS and Enterprise Solutions – working in deep partnership with PGS business data owners, solution teams and the site network.

The Director, Data Management & Engineering leads the function accountable for data quality and trust across PGS and Enterprise Solutions. The role owns the movement of data from source systems through to the point of consumption, and the assurance that what arrives is complete, accurate, traceable and fit to use.

Partnering closely with PGS Data, Analytics & AI Transformation organisation and Digital solution teams, this function turns trusted, contextualised data into operating reality s role builds and runs the pipeline estate that carries it, engineers the data quality controls that hold it to account, and certifies data products as trusted. It is the operational spine of an AI-ready data foundation.

The role leads a distributed team, supported by partner resources, and operates in a GxP-regulated environment where evidence of data integrity is a design requirement.

What You Will Achieve Pipeline build and operations

Partnering closely with PGS Data, Analytics & AI Transformation organisation and Digital solution teams, set objectives for and lead the design, build and operation of the data pipeline and integration estate connecting source systems to enterprise consumption, including manufacturing, quality, supply chain and ERP sources.

Own ingestion and integration engineering from source through to MES, historian, and enterprise platforms, delivered to the architecture and integration standards set by Data Strategy & Architecture.

Establish and maintain Data Ops practice across the estate: 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, working with partner resources where the work is outsourced.

Data quality and certification

Lead data quality engineering across the estate: rule definition and enforcement, anomaly detection, remediation, and measurement.

Own the lineage and evidence chain from source to consumption, ensuring ALCOA+ principles are demonstrably met and that 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 organisation.

Establish observability across pipelines and data products so that failures, drift and degradation are detected before consumers are affected.

Regulatory and compliance

Ensure all pipelines and data products meet 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.

Working across the function

Work with Data Platforms team on the boundary between the platform environment and the flow through it, ensuring that interface is explicit and understood by both teams.

Partner with Delivery & Operations Excellence on demand shaping and sequencing, and with Domain Data Solution Leads to define and meet the…