Director, PGS and Enterprise Solutions Data Contextualization & Semantic Engineering Lead

Pfizer • New York City, PA

10d • Hybrid

About The Position

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 and the site network. Enable data once, to open standards, and every use case that follows – from Golden Batch analytics to agentic AI – inherits it. If you want your work to shape how one of the world’s great manufacturing networks becomes truly AI-ready, this is the team that builds the roads. The Director, PGS and Enterprise Solutions Data Integration & Semantic Engineering Lead makes data mean something – end to end. This leader ensures data carries context from its source to make it portable across a heterogeneous global network, and the enterprise semantic layer – ontologies, business glossary, knowledge graph and semantic views – through which people and AI interpret it. This role demands a passion for ensuring data carries the meaning that makes it machine-interpretable, both operational technology credibility at the plant floor and knowledge-graph depth at the enterprise.

Requirements

• Bachelor’s degree in Engineering, Computer Science or a related technical field and 8+ years across manufacturing/operational technology and data engineering, including 3+ years leading technical teams or major programs.
• Broad understanding of Digital Manufacturing, Quality, Supply Chain and SAP ERP concepts and data models.
• Deep, applied understanding of AI models, and what it takes to make data machine-understandable.
• Hands-on depth with plant data systems – historians (PI/AVEVA), MES context, industrial connectivity and modern industrial data engineering.
• Practical experience of semantic concepts and modelling: ontologies, taxonomies, knowledge graphs or graph query technologies.
• Experience delivering in a GxP manufacturing environment.
• Proven ability to influence and align senior stakeholders across business and technology organizations.
• Candidate 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.

Nice To Haves

• Experience with industrial DataOps tooling (e.g. HighByte), UNS architectures, MQTT brokers and edge deployment patterns.
• Understanding of graph platforms (e.g. Neo4j) and semantic layer technologies.
• Deep working knowledge of ISA-95/ISA-88 and their application to contextualisation at scale.
• Program leadership of multi-site technology deployments in pharmaceutical or comparable regulated manufacturing.
• Advanced degree in a relevant field.

Responsibilities

• Build and lead a multidisciplinary team spanning OT data engineering, industrial connectivity and semantic/knowledge-graph engineering.
• Own edge contextualisation patterns (e.g. HighByte), ensuring context is applied once, at source, to open standards.
• Partnering with Data Strategy and Architecture teams, lead the design and operation of the enterprise semantic-layer capability.
• Partner closely with business data owners to define domain ontologies and business glossary, the knowledge graph, and semantic views enabling in-platform intelligence.
• Own the deployment and operation of Unified Namespace (UNS) architecture and associated messaging standards (MQTT – Message Queuing Telemetry Transport; OPC-UA – Open Platform Communications Unified Architecture) from shop floor to enterprise.
• Define and execute one global + site strategy for the plant historian (PI) estate, including streamlining and consolidation of installed footprint.
• Set the standards to which solution-embedded edge and integration work is executed across Creation Centers and sites.
• Partner with the site network through Site Data & Integration Leads (via the Network & Automation interface) to keep central patterns grounded in plant reality.
• Lead the MDE program: multi-site enablement, foundational data product delivery, and the maturity-model roadmap, on time and to standard.

Benefits

• 401(k) plan with Pfizer Matching Contributions and an 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