Head of Data & BI Platform Engineering

Role Summary

The Head of Data & BI Platform Engineering owns Pfizer's enterprise data and business intelligence platform layer. This encompasses the platforms on which Pfizer's structured and semi-structured data is stored, processed, transformed, and visualized, including the organization's core data warehousing and lake platforms (such as Snowflake and Databricks), data integration and transformation tools (such as Alteryx and Mulesoft), and enterprise BI and visualization platforms (such as Tableau, Power BI, and Spotfire).

Pfizer's AI & Data Center of Excellence (CoE) exists to accelerate the Enterprise AI Strategy, enabling every function, every builder, and every decision‑maker to work faster and with greater precision. At the foundation of that strategy is data: well‑structured, governed, and readily accessible data that AI systems, analytics teams, and business leaders can depend on. The data platforms this leader manages are a critical upstream dependency for the majority of AI workloads across Pfizer, making the reliability, performance, and governance of these platforms a direct enabler of the organization's AI ambitions.

In this role, you will lead a team of engineers and platform specialists across and will be accountable for delivering these platforms as enterprise services with published SLAs, governed access, and measurable value to the federated AI and analytics teams that depend on them.

• Enterprise data warehouse and lakehouse platforms (e.g., Snowflake, Databricks, Amazon Redshift) including infrastructure, administration, performance tuning, cost governance, and access management.
• Unified storage and compute environments for structured, semi‑structured, and large‑scale analytical data workloads across all divisions.

• Data pipeline and integration tooling (e.g., Alteryx, dbt, Five Tran, Databricks, or equivalent) including pipeline development standards, orchestration, and operational monitoring.
• ETL/ELT framework governance, enabling self‑service data preparation for analysts while maintaining data quality and lineage standards.
• Knowledge graph, ontology, and semantic model tooling (e.g., Neo4J, Sci Bite, Stardog, Neptune, etc.).

• Enterprise BI and visualization platforms (e.g., Tableau, Power BI, Spotfire) including platform administration, licensing governance, performance, and user access.
• Semantic layer and report governance standards, in partnership with the AI Ready Data team, to ensure consistent and trusted metric definitions across the enterprise.

• Data catalog tooling and metadata management, enabling data discoverability and lineage tracking across the platform estate.
• Platform observability and data reliability engineering including SLA monitoring, data quality alerting, and incident response.

• Define and own the Data & BI platform strategy and multi‑year roadmap, ensuring platform investments are aligned to the needs of federated AI and analytics teams across Pfizer.
• Lead, develop, and grow a team of engineers and platform specialists across Platform Operations, Platform Development, and Data Reliability pods.
• Establish and maintain product‑minded ownership of the platform portfolio with roadmap priorities driven by user needs, validated through regular engagement with platform consumers.
• Own the vendor relationships and licensing strategy for the data and BI platform portfolio, including contract management, performance governance, and technology evaluation.
• Partner with the Head of AI Ready Data to ensure platform infrastructure and data governance standards are tightly integrated, the platform must serve AI‑ready data, not just available data.

• Oversee the design, build, and operation of enterprise data pipelines, warehouse/lakehouse environments, and BI infrastructure at scale.
• Define and publish platform SLAs covering availability, data freshness, query performance, and pipeline reliability and hold the team…