PGS Data Engineering Lead

Pfizer Global Supply (PGS) is transforming how data powers its end-to-end supply network. The PGS Data Engineering Lead is the division business owner accountable for PGSs coredata foundations the architecture design and operations of the platforms that make supply-chain manufacturing quality and master data trusted discoverable and usable at global scale.

Reporting to the VP PGS Data Analytics & AI Transformation the role sets multi-year strategy across structured and unstructured data in a co-owned model with Digital who co-owns much of the underlying platform and infrastructure. Theleaderestablishesstrong security and control frameworks that protect sensitive data while enabling governed self-service access giving PGS a scalable secure cost-effective data foundation that accelerates AI analytics and enterprise decision-making.

Data Scope Definition & Prioritization

• Own the technology roadmap for both structured and unstructured dataimmediatelydefining a clear leadership approach for unstructured data.

• Establish and run a recurring (at least annual) process to define and prioritize the scope of data in remit and the roadmap for addressing it.

• Continuously revisit sequencing and priorities in close partnership with Digital leadership keeping the organization focused on the right data in the right order.

Data Lifecycle & Access Design

• For each dataset in scope define how the data will be housed secured and made accessible for direct use by both colleagues and machines including for training Pfizer LLMs.

• Monitor data health and freshness with PGS Data Governancedocumentand surface data through the most effective channels (e.g. Collibra Pfizer LLMs) andmanage its full lifecycle from creation through retirement.

Data Platform Strategy Architecture & Business Ownership

• Define and execute the divisions next-generation platform strategy owning the architecture hosting and operations of core data platforms (data lakes warehouses graph databases) across critical PGSdatasets.

• Direct Digitals solution owner on platform financials lifecycle and day-to-day operations and enforce security and control frameworks that protect sensitive data while enabling governed self-service access for AI analytics and emerging use cases.

• Drive simple robust architecture by design setting business direction priorities and accountability over technical execution led by Digital and service providers (e.g. Snowflake).

• Establish security and control frameworks that protect sensitive data while enabling governed self-service access for colleagues and machines supporting AI analytics and applications.

Data Quality Algorithms Automation & Workflow Innovation

• Own the system integration strategy across all in-scope platforms and tools integrating multi-provider solutions seamlessly in the background andmakedata available for training Pfizers LLMs whereappropriate respecting all security and access requirements.

• Design build andoperatethe algorithms and automations (including MDCAT and related workflows) that detect data outliers and route them through governance workflows for steward review and action.

• Partner with PGS Data Governance to engineer automated data correction and redesign data models tables and creation processes so quality and trust are built in thenmonitorperformance and drive continuous improvement.

Data Consumption & Analytic Data Products

• Integrate data health and freshness metrics and KPIs into Collibra making them readily available to human users and the AI systems that rely on them for automated decision-making.

• Partner with Enterprise Analytics to build data products on the divisions core common data model and own the consumption layer strategy that packages structures and delivers data for all consumers from users querying the lakes and warehouses directly to Digital solutions powering their own applications.

Key Capabilities

• Leading Through Change: Demonstrated experience leading leaders and teams through complex change including navigating ambiguity influencing across stakeholders and sustaining performance during transformation.
• Digital Literacy and AI Fluency: Strong digital literacy including practical experience leveraging data digital tools and AIenabled solutions to drive innovation efficiency and better decisionmaking.
• EndtoEnd Process Thinking: Proven ability to think and operate endtoend connecting strategy to execution across functions and anticipating downstream impacts to deliver integrated enterpriselevel solutions.

• Bachelors/BS in Computer Science Data/Software Engineering Information Systems or related technical field with 12 years relevant experience; OR aMastersdegree with at least 10 years of experience; OR a PhD with 7 years of experience

• Demonstratedsuccessarchitecting building and leading enterprise-scale data platforms (data lakes warehouses and/or graph databases) with senior-management accountability.

• Proven leadership of a business-critical team building a high-performing culture of trusted independent ownership.

• Strong pharmaceutical and supply chain business acumen connecting business needs to the right technical tools and datasets.

• Hands-on fluency in data modeling schema design and system architecture; experience building data-quality algorithms automations and workflow/routing platforms at enterprise scale.

• Working knowledge of modern data platforms and tooling (e.g. Snowflake Neo4j CollibraAccelDataInfoSteward) and system-integration principles across multiple providers.

• Proven ability to partner with Data Governance and Digitaloperatein a highly matrixed federated organization and support AI/analytics or LLM-related initiatives through platform design.

• Fluency in English.

• Professional certification in a relevant cloud data engineering or data architecture discipline (e.g. AWS/Azure/Google data engineer credentials).

• Strong AI governance and business acumen connecting platform strategy to supply chain manufacturing and enterprise priorities.

• Executionfocusfromstrategy through operation; proven change-agenttrack recorddriving adoption at scale in large complex organizations.

• Excellent communication facilitation and influencing skills across engineers to executive leadership; strong Pfizer network across PGS Digital Finance and Quality/Regulatory

NON-STANDARD WORK SCHEDULE TRAVEL OR ENVIRONMENT REQUIREMENTS

• Up to 10%domesticand international travel.

• Willingness to work off-hours across global time zones and extended hours during peak periods (e.g. major platform migrations or go-lives).