Executive Director - Data Management, Analytics, AI & Architecture
Regeneron
August 24, 2026
Remote friendly (Sleepy Hollow, NY)
United States
IT
Role Description
The Executive Director of Data Management, Analytics, and Architecture will lead the strategy for commercial and G&A data capabilities at Regeneron, transforming enterprise data into trusted insights that drive business performance and operational excellence. Partners with Digital & Technology leaders and senior executives to establish scalable data architecture, analytics, and governance standards across the organization. Primary executive spokesperson for data management, analytics, and architecture across Commercial and G&A functions (Finance, HR, Procurement, Legal, Compliance, and other corporate departments).
What You’ll Lead
- Own and execute the multi-year data management, analytics, AI, and enterprise data architecture strategy for Commercial and G&A.
- Lead and develop a high-performing team.
- Deliver trusted data platforms, analytics products, and self-service capabilities.
- Establish enterprise-wide data governance, stewardship, quality, lifecycle management, and master data standards.
- Modernize and simplify the data ecosystem via cloud platforms, integration strategies, architecture standards, and executive reporting.
- Advance AI/ML/automation and responsible AI practices; manage risk and ensure regulatory compliance.
- Drive measurable business outcomes (data quality, adoption, automation, efficiency, productivity, standardization).
- Oversee vendor partnerships, data security, architecture governance, and value realization.
What You Bring
- BS/BA in Computer Science, Data Science, Information Systems, or related field required; MS/PhD/MBA preferred.
- 17+ years progressive leadership in data management, data architecture, analytics, or BI (enterprise-scale); life sciences/biotech/regulated industry a plus.
- Deep command of modern data management/analytics/enterprise architecture (BI, cloud data platforms, governance, modeling, MDM).
- Experience establishing enterprise data governance frameworks and reference architecture standards.
- Strong understanding of AI/ML/agentic AI, model risk, responsible AI practices, monitoring/validation/lifecycle management.
- Familiarity with AI/data regulatory and risk frameworks (e.g., GxP, NIST AI RMF, ISO 42001) plus.
- Partnering experience with Legal, Compliance, Security, Privacy on data/AI risk and audit readiness.
- Ability to influence senior leaders, translate data into business outcomes, and attract top talent.
Application
- “Does this sound like you? Apply now to take your first step towards living the Regeneron Way!”
The Executive Director of Data Management, Analytics, and Architecture will lead the strategy for commercial and G&A data capabilities at Regeneron, transforming enterprise data into trusted insights that drive business performance and operational excellence. Partners with Digital & Technology leaders and senior executives to establish scalable data architecture, analytics, and governance standards across the organization. Primary executive spokesperson for data management, analytics, and architecture across Commercial and G&A functions (Finance, HR, Procurement, Legal, Compliance, and other corporate departments).
What You’ll Lead
- Own and execute the multi-year data management, analytics, AI, and enterprise data architecture strategy for Commercial and G&A.
- Lead and develop a high-performing team.
- Deliver trusted data platforms, analytics products, and self-service capabilities.
- Establish enterprise-wide data governance, stewardship, quality, lifecycle management, and master data standards.
- Modernize and simplify the data ecosystem via cloud platforms, integration strategies, architecture standards, and executive reporting.
- Advance AI/ML/automation and responsible AI practices; manage risk and ensure regulatory compliance.
- Drive measurable business outcomes (data quality, adoption, automation, efficiency, productivity, standardization).
- Oversee vendor partnerships, data security, architecture governance, and value realization.
What You Bring
- BS/BA in Computer Science, Data Science, Information Systems, or related field required; MS/PhD/MBA preferred.
- 17+ years progressive leadership in data management, data architecture, analytics, or BI (enterprise-scale); life sciences/biotech/regulated industry a plus.
- Deep command of modern data management/analytics/enterprise architecture (BI, cloud data platforms, governance, modeling, MDM).
- Experience establishing enterprise data governance frameworks and reference architecture standards.
- Strong understanding of AI/ML/agentic AI, model risk, responsible AI practices, monitoring/validation/lifecycle management.
- Familiarity with AI/data regulatory and risk frameworks (e.g., GxP, NIST AI RMF, ISO 42001) plus.
- Partnering experience with Legal, Compliance, Security, Privacy on data/AI risk and audit readiness.
- Ability to influence senior leaders, translate data into business outcomes, and attract top talent.
Application
- “Does this sound like you? Apply now to take your first step towards living the Regeneron Way!”