Director, Commercial Data & Analytics Architecture

Pfizer · New York City, NY +2 more

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CommercialFull-time$163k–$272kCompany career page

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Role summary

Director overseeing the architecture and governance of Pfizer's commercial analytics data ecosystem, including data models, semantic layers, and technology strategy. This hands-on role requires designing scalable systems, enforcing data standards, and partnering with business and technical stakeholders across the enterprise.

Where this listing comes from

This listing was compiled by RoleLantern from the employer's publicly available posting on Workday, captured and rephrased by RoleLantern using automated (AI) tools on 2026-10-04 (originally posted 2026-10-04). It was not submitted or confirmed by the employer through RoleLantern. Details may be inaccurate, incomplete, outdated, or no longer available; please confirm with the employer's official posting before applying.

What they're looking for

8+ years in data architecture, data engineering, or analytics engineering with substantial hands-on technical delivery
High proficiency in SQL and Python with regular production coding experience
Deep experience with modern cloud data warehouses, transformation frameworks, orchestration, and CI/CD
Demonstrated experience designing and enforcing data contracts, conformed data models, and metric/semantic layers
Experience serving as design authority over vendor or partner implementation in large enterprises
Experience with commercial pharmaceutical or life sciences data and associated business definitions
Excellent written and verbal communication skills, including presenting to senior leadership

What you'll be doing

Own the commercial analytics data model including standardized domains, conformed dimensions, and governed identity spines
Establish and oversee federated development model allowing autonomous modeling within governed guardrails
Publish and maintain architecture standards, reference implementations, and documentation for internal and external teams
Shape and implement data contracts with automated quality testing and maintain consolidated metric registry
Set technology stack direction for data layer infrastructure and partner with enterprise platform teams on requirements

Privacy & handoff

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