Director, Commercial Data & Analytics Architecture

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About the role

Role Summary As Director, Commercial Data & Analytics Architecture, you will own the architecture of Pfizer's governed commercial analytics data and semantic data layer. This ecosystem represents the foundation for Pfizer colleagues and partner teams to build analytics capabilities, including brand analytics/reporting, forecasting, data science products, and AI agents. You will be the single point of design and architecture accountability, ensuring consistency, scalability and flexibility across brands and TAs. You will drive decisions on what components are central and what are federated, define the standards and data contracts that allow teams build in parallel, set the technology stack direction aligned with Pfizer’s enterprise strategy, and serve as approval authority for developed data pipelines/products. You will stay fully hands-on: writing reference implementations, reviewing code, and prototyping new capabilities. This role is for an architect who writes code, holds standards and deploys scalable operating models, and can partner effectively with senior business and technical stakeholders. Role Responsibilities Business Data Architecture & Design • Own the commercial analytics data model: standardized data domains, conformed dimensions, governed identity spines (patient, HCP, accounts), and the layered structure from raw sources to certified data products • Establish, maintain and oversee the federated development model that allows TA and brand teams to model and compute autonomously within governed guardrails, and the criteria for promoting built assets into shared domains • Publish and maintain standards, reference implementations, definitions of done, architecture decision log and reference documentation leveraged by internal colleagues and partner implementation teams • Serve as accountable architect for implementation delivered by external partners and internal brand teams, including design, review, approve and release processes Data Contracts and Semantic Consistency • Shape and implement data contracts through which teams publish governed source-of-truth metrics into common structures, enforcing them through automated data quality and contract testing • Provide the technical backbone for a consolidated metric registry with robust processes to govern certifications • Protect consistency of certified business definitions across every consumption path, including BI, forecasting, and AI agents grounded on the unified data layer Technology Strategy and Platform Requirements • Set the technology stack direction for the data layer: data storage and compute, transformation and orchestration, CI/CD, catalog and lineage documentation, semantic layer tooling, and infrastructure • Partner with enterprise platform teams to convey technical requirements of the commercial data layer • Evaluate emerging tools and patterns through prototyping on relevant use cases Development Processes • Own sandbox-to-production promotion architecture, service account and access patterns, and observability standards • Shape the onboarding strategy for new brands, define the technical approach for decommissioning legacy data assets as consumption migrates to new data layers • Design for the transition from partner-led build to internally sustained operations: parameterized pipelines, metadata-driven onboarding, and automated impact analysis Stakeholder Engagement • Translate architecture decisions into business terms for commercial analytics leaders, brand-aligned teams, and executive sponsors • Deliver concise recommendations on build-versus-buy, central-versus-federated, and adopt-versus-retire decisions to inform prioritization and funding Basic Qualifications • 8+ years in data architecture, data engineering, or analytics

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