VP Enterprise Data & Information Management
Core
Guardian of Regeneron's data assets, establishing enterprise data governance, quality, and AI-ready infrastructure to drive scientific and business impact.
Role type
VP Enterprise Data & Information Management (Strategy & Organization)
Builds
Enterprise data program, governance structures, semantic layers, and federated multimodal infrastructure for production-grade AI.
Domain
Life Sciences / Biopharma / Enterprise Data & AI
Deliverable
production ML models | infrastructure
Required skills
Enterprise data governance, Master Data Management (MDM), Metadata management, Enterprise data quality, Federated data architecture, Semantic layers, Multimodal data infrastructure, GxP compliance, Knowledge graphs, Vector databases, Retrieval-augmented generation (RAG), Global delivery model leadership, Executive stakeholder management
Preferred skills
GxP data compliance in regulated life sciences, Managing distributed engineering organizations (e.g., India), Building senior data talent in competitive markets
Technologies
Vector databases, Knowledge graphs, RAG, Modern data platforms
Responsibilities
Set enterprise data quality standards and governance policies; Define strategy for enterprise semantic layer and business glossary; Own architecture for federated, AI-ready data ecosystem; Establish GxP-compliant data standards and pipeline compliance; Lead multidisciplinary data organization and hire Executive Director; Represent data strategy to executive leadership
Seniority
VP, Executive Leadership
