Executive Director - Data Management, Analytics, AI & Architecture

Regeneron Pharmaceuticals•Sleepy Hollow, WY

6d•$255,000 - $424,900•Hybrid

About The Position

Regeneron is a leading biotechnology company focused on using science to develop new medicines. The company has a strong track record of innovation, driven by its proprietary technologies and a diverse portfolio of treatments. Regeneron is investing in manufacturing capacity, global expansion, and digital/technology capabilities to support its growth. This role is crucial in advancing the company's digital and technology capabilities to accelerate scientific discovery and improve patient lives. The position is based on-site in Sleepy Hollow, NY, requiring 4 days per week in the office. The Executive Director of Data Management, Analytics, and Architecture will be responsible for leading the strategy for commercial and G&A data capabilities. This role aims to transform enterprise data into actionable insights that enhance business performance and operational efficiency. The position involves close collaboration with Digital & Technology leaders and senior executives to establish scalable data architecture, analytics, and governance standards that can be adopted across the organization. The leader will significantly influence how data, AI, and analytics are structured, managed, and utilized for commercial and operational decision-making. Additionally, this role serves as the primary executive spokesperson for data management, analytics, and architecture within Commercial and G&A functions, including Finance, HR, Procurement, Legal, Compliance, and other corporate departments.

Requirements

BS/BA in Computer Science, Data Science, Information Systems, or a related field required.
17+ years of progressive leadership in data management, data architecture, analytics, or business intelligence, including enterprise-scale programs.
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 needed to run AI systems safely at enterprise scale.
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.

Nice To Haves

MS, PhD, or MBA preferred.
Experience in life sciences, biotechnology, or another regulated industry is a plus.
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.

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.