Executive Director - Data Management, Analytics, AI & Architecture

About the role

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.

Responsibilities

• Own and execute the multi-year data management, analytics, AI, and enterprise data architecture strategy for Commercial and G&A functions, aligning investments with corporate objectives.
• Lead and develop a high-performing team of data management, analytics, and architecture professionals, building organizational capability and delivery excellence.
• Deliver trusted data platforms, analytics products, and self-service capabilities that empower business leaders across Commercial, Finance, HR, and other G&A functions.
• Establish enterprise-wide data governance, stewardship, quality, lifecycle management, and master data standards to improve trust, consistency, and interoperability.
• Modernize and simplify the data ecosystem through scalable cloud platforms, integration strategies, architecture standards, and executive reporting capabilities.
• Advance AI, machine learning, automation, and responsible AI practices by identifying high-value use cases, managing risk, and ensuring regulatory compliance.
• Drive measurable business outcomes through improved data quality, analytics adoption, automation, operational efficiency, productivity, and process standardization across global teams.
• Oversee vendor partnerships, data security, architecture governance, and value realization, ensuring strategic investments deliver measurable business impact and long-term organizational value.

Requirements

• BS/BA in Computer Science, Data Science, Information Systems, or a related field required; MS. PhD or MBA preferred.
• 17+ years of progressive leadership in data management, data architecture, analytics, or business intelligence, including enterprise-scale programs; experience in life sciences, biotechnology, or another regulated industry is a plus.
• Deep command of modern data management, analytics, and enterprise architecture capabilities (platform-agnostic, e.g., BI, cloud data platforms, data governance, data modeling, master data management).
• Experience establishing enterprise data governance frameworks and reference architecture standards that scale across multiple business domains.
• Strong understanding of AI, machine learning, and agentic AI concepts, including model risk, responsible AI practices, and the operational discipline, such as monitoring, validation, and lifecycle management, needed to run AI systems safely at enterprise scale.
• Familiarity with regulatory and risk frameworks relevant to AI and data in regulated industries (e.g., GxP considerations, NIST AI RMF, ISO 42001) is a plus.
• Experience partnering with Legal, Compliance, Security, and Privacy functions to manage data and AI risk, vendor risk, and audit readiness.
• Proven ability to influence senior leaders, translate data into business outcomes, and attract top talent.

Qualifications

• BS/BA in Computer Science, Data Science, Information Systems, or a related field required; MS. PhD or MBA preferred.
• 17+ years of progressive leadership in data management, data architecture, analytics, or business intelligence, including enterprise-scale programs; experience in life sciences, biotechnology, or another regulated industry is a plus.
• Deep command of modern data management, analytics, and enterprise architecture capabilities (platform-agnostic, e.g., BI, cloud data platforms, data governance, data modeling, master data management).
• Experience establishing enterprise data governance frameworks and reference architecture standards that scale across multiple business domains.
• Strong understanding of AI, machine learning, and agentic AI concepts, including model risk, responsible AI practices, and the operational discipline, such as monitoring, validation, and lifecycle management, needed to run AI systems safely at enterprise scale.
• Familiarity with regulatory and risk frameworks relevant to AI and data in regulated industries (e.g., GxP considerations, NIST AI RMF, ISO 42001) is a plus.
• Experience partnering with Legal, Compliance, Security, and Privacy functions to manage data and AI risk, vendor risk, and audit readiness.
• Proven ability to influence senior leaders, translate data into business outcomes, and attract top talent.

Skills

• Leadership in data management, data architecture, analytics, or business intelligence.
• Enterprise-scale program experience.
• Deep understanding of modern data management, analytics, and enterprise architecture capabilities.
• Experience in life sciences, biotechnology, or another regulated industry.
• Strong understanding of AI, machine learning, and agentic AI concepts.
• Experience in regulatory and risk frameworks relevant to AI and data in regulated industries.
• Ability to partner with Legal, Compliance, Security, and Privacy functions.
• Ability to influence senior leaders and translate data into business outcomes.

Benefits

• Annual bonuses or other incentive plans.
• Equity awards.
• Pension or retirement benefits.
• 401(k) company match.
• Health and wellness programs.
• Fitness centers.
• Insurance benefits (e.g. medical, dental, vision, life and disability).
• Paid time off.
• Family support benefits.

Pay

• $255,000.00 - $424,900.00 annually

Schedule

This role will sit on-site in our Sleepy Hollow, NY offices 4 days per week.