Executive Director - Data Management, Analytics, AI & Architecture

Regeneron; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Regeneron is seeking an Executive Director of Data Management, Analytics, and Architecture to lead the strategy for commercial and G&A data capabilities, transforming enterprise data into trusted insights that drive business performance and operational excellence.

This role partners with Digital & Technology and senior executives to establish scalable data architecture, analytics, and governance standards across the organization.

Qualifications

• BS/BA in Computer Science, Data Science, Information Systems, or related field required; MS/PhD or MBA preferred.
• 17+ years of progressive leadership in data management, architecture, or analytics in a regulated setting.
• Strong command of data management, analytics, and enterprise architecture capabilities.

Responsibilities

• Lead multi-year data management, analytics, AI, and enterprise data architecture strategy for Commercial and G&A.
• Develop and mentor a high-performing data team across functions.
• Deliver trusted data platforms, analytics products, and self-service capabilities for leaders.
• Establish enterprise-wide data governance, quality, lifecycle management, and master data standards.

Skills

Leadership

Data strategy

Data governance

Analytics

Enterprise data architecture

AI / ML concepts

Regulated industries

Education

BS/BA in Computer Science or related field

MS/PhD or MBA preferred

Tools

Cloud platforms

Data governance tools

Job description

Building Our Future:

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking an Executive Director of Data Management, Analytics, and Architecture who 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. This role partners closely with Digital & Technology leaders and senior executives to establish scalable data architecture, analytics, and governance standards that serve as a model across the organization.

The position has significant influence over how data, AI, and analytics are structured, managed, and leveraged to support commercial and operational decision-making. The leader also serves as the primary executive spokesperson for data management, analytics, and architecture across Commercial and G&A functions, including Finance, HR, Procurement, Legal, Compliance, and other corporate departments.

Where & When:

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

Discover Your Role:

• 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.

This Role Requires:

• 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.

Does this sound like you?

We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range b