VP, Enterprise Data & AI Strategy

Regeneron Pharmaceuticals, Inc; Village of Tarrytown (NY); On-site; USD 250,000 - 500,000; Full time

Benefits offered by this job

Annual bonuses

Equity awards

401(k) company match

Health benefits

Retirement benefits

Paid time off

Job summary

Regeneron is seeking a VP of Enterprise Data & Information Management to build and lead a comprehensive data program at enterprise scale, ensuring data governance, quality, and AI-ready infrastructure across the organization.

Reporting to the SVP Chief AI Officer, this leader will set standards for data catalogs, semantic layer, and GxP-compliant pipelines, while partnering with Regulatory Affairs, Quality, and Legal; a high-impact role with executive accountability.

Qualifications

• BS/BA degree in a related field.
• 20+ years leading enterprise data management, governance, or architecture.
• Deep expertise in data governance, MDM, metadata management, and data quality.
• Hands-on architectural depth in federated data architecture and semantic layers.
• Experience with GxP data compliance in regulated life sciences.
• Knowledge of AI data landscape: vector DBs, knowledge graphs, RAG, modern data platforms.
• Experience partnering with distributed engineering teams.

Responsibilities

• Sets enterprise data quality standards and governance policy across Regeneron's data estate.
• Owns executive accountability for data governance outcomes across the enterprise.
• Directs strategy for enterprise semantic layer and domain standardization.
• Leads business glossary and taxonomy program alignment across domains.
• Sets strategy and investment for knowledge graph infrastructure and federated data ecosystem.
• Owns architecture standards balancing domain-led data products with centralized governance.
• Maintains privacy, security, and regulatory compliance with Legal and Regulatory Affairs.

Job description

Regeneron is seeking a VP of Enterprise Data & Information Management to build and lead a comprehensive data program at enterprise scale, ensuring data governance, quality, and AI-ready infrastructure across the organization.

Reporting to the SVP Chief AI Officer, this leader will set standards for data catalogs, semantic layer, and GxP-compliant pipelines, while partnering with Regulatory Affairs, Quality, and Legal; a high-impact role with executive accountability.