Director, AI Data Architect

About the role

Join Pfizer International Commercial Division’s Business Transformation team to define and deliver AI‑ready data products that power commercial analytics and agentic AI solutions across global markets.

Key responsibilities

• Own and evolve the AI readiness framework, assess and certify datasets, and create remediation roadmaps.
• Design dimensional, semantic and knowledge‑graph models optimized for both human analytics and AI consumption.
• Architect semantic search, vector storage and hybrid retrieval solutions that enable AI agents to access governed enterprise data.
• Lead design reviews, author architecture decision records and coach data engineers on AI‑ready data best practices.

Required profile

• 10+ years in data architecture, engineering or analytics engineering as a senior individual contributor.
• Bachelor’s or Master’s in Computer Science, Data Engineering or related field; advanced degree preferred.
• Strong communication skills in English and ability to work across global time zones.

Required skills

• SQL and Python programming.
• Snowflake, AWS or Azure cloud platforms.
• Modern data‑stack tools: dbt, Airflow, GitHub Actions.
• Data cataloguing and semantics management (e.g., Collibra).
• Experience with vector databases (Snowflake Cortex Search, pgvector, Pinecone, OpenSearch) and graph databases (Neo4j, Amazon Neptune).
• Familiarity with BI/visualisation tools such as Tableau, Power BI, Streamlit.