Director, GH&B AI-Ready Data Foundation & Governance
Pfizer · San Jose
Job description
About the role
The Director, GH&B AI-Ready Data Foundation & Governance owns the data foundation powering Pfizer's Global Hospital & Biosimilars (GH&B) business. The role is accountable for the GH&B AI-Ready Data Warehouse (built on Snowflake), the ontologies and relationships linking commercial, manufacturing, supply and pricing data, and data governance standards across the business. It is a hands-on individual contributor role with no people management responsibilities.
Key responsibilities
- Own the GH&B AI-Ready Data Warehouse (Snowflake) and its data model, and operate the AI and analytics layer built on it
- Establish and maintain ontologies and semantic relationships across manufacturing, commercial, supply and pricing data
- Own end-to-end data governance, enforce Pfizer enterprise data standards, access controls, quality rules and stewardship, and set up automated data quality monitoring and alerting
- Own production reliability of data applications and platforms (Athena, NEO, GH&B Navigator dashboard, shortage and flu prediction models), including uptime, freshness, incident response and root-cause analysis
- Monitor data quality feeding AI/ML models, detect drift, and partner with the Advanced Data Analytics & AI Solutions team
- Set version control and testing/release processes for the warehouse, ontology, dashboards and models
- Administer role-based access to data platforms and maintain technical documentation and runbooks
- Direct contingent contractor resources building and maintaining AI and analytics models and production applications
- Evaluate new data and ontology requests and partner with GH&B stakeholders on the data and governance roadmap
Required profile
- Bachelor's degree with 8+ years of experience, or Master's with 7+ years, or PhD with 5+ years
- Experience in data architecture, data management, data engineering or data governance
- Pharmaceutical, biosimilars or hospital-market industry experience
- Experience directing contingent contractor or vendor engineering resources
- Ability to influence senior stakeholders and work without direct authority
- Permanent work authorization in the United States; visa sponsorship not available
Required skills
- High proficiency in SQL and Python, with regular production coding
- Experience architecting for unstructured data (documents, text, transcripts, images)
- Hands-on experience with Collibra for data cataloguing, lineage and governance
- Experience setting up data ontologies, taxonomies or knowledge-graph models
- Applied knowledge of AI and machine learning concepts
- Preferred: advanced degree, DAMA CDMP credential, Snowflake, ontology tooling (RDF/OWL, Protégé), Collibra/Alation/Purview, Pfizer's Unified Data Hub and Finance United Data Hub
What we offer
- Annual base salary of $162,900 to $271,500, with a 20% bonus target and share-based long-term incentives
- 401(k) with Pfizer matching contributions, paid vacation, holiday and personal days, caregiver/parental and medical leave, and medical, prescription drug, dental and vision coverage
- Hybrid work arrangement; relocation assistance may be available depending on business needs
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Published 8 hours ago
Expires 1 month from now
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Pfizer
San Jose
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