Jobs / United States / Regeneron Pharmaceuticals INC
Executive Director - Data Management, Analytics, AI & Architecture
Regeneron Pharmaceuticals INC · 🇺🇸 SLEEPY HOLLOW
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 40 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Regeneron Pharmaceuticals INC paid sponsored hires in similar roles6 certified filings for “Director IT Operations Management” (Computer and Information Systems Managers) in NJ: $220k–$263k, median $236k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Regeneron Pharmaceuticals INC
The US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 40 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Regeneron Pharmaceuticals INC →
About the role
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 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 ris