Director, AI Data Architect

About the role

Pfizer International Commercial Division, within the Business Transformation organization, is looking for an AI Data Architect. This is a hands-on, individual contributor role with no people management responsibilities, acting as the senior authority for AI-ready data across International Commercial. It defines what "AI ready" means in practice: designing data models, semantic layers and readiness standards so analytical and agentic AI solutions can consume commercial data reliably, safely and at scale.

Key responsibilities

• Own and evolve the AI readiness framework used to assess, certify and prioritize datasets for AI consumption, and run readiness assessments with remediation roadmaps
• Extend AI readiness to unstructured content (documents, transcripts, field notes) and define reusable standards, blueprints and accelerators
• Design dimensional and analytical data models and govern semantic layers, business ontologies and metric definitions
• Model knowledge graphs and establish modelling standards for AI consumption
• Translate use cases into data architectures, including semantic search and retrieval architectures with embedding pipelines and hybrid retrieval
• Lead design reviews, author architecture decision records and coach data engineers and market teams on modelling and AI readiness

Required profile

• Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science or a related field
• 10+ years in data architecture, data engineering or analytics engineering, with a proven track record as a senior individual contributor
• Deep expertise in dimensional modelling (Kimball) and schema design
• Experience architecting for unstructured data and with complex sources such as anonymized patient data (EMR/claims)
• Strong English, written and verbal, and ability to work across global time zones

Required skills

• SQL and Python, with practical experience in Snowflake
• Cloud platforms (AWS or Azure), dbt, Airflow and GitHub Actions
• Semantics management and enterprise data catalogues (Collibra)
• Preferred: vector databases, graph databases and knowledge graphs, data governance in regulated environments (GxP, HIPAA, SOC2), BI tools (Tableau, Power BI, Streamlit), and certifications such as Snowflake, AWS or Azure Professional

The position is hybrid. Applications are made by sending a CV and a motivational letter in English.