Executive Director, Data Management, Analytics, AI & Architecture

Regeneron

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Sleepy Hollow, NY
Salary
$255,000–$424,900 / yr
Employment
Full-time
Posted
62 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $241k
This role $340k
$152k $454k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $204,862–$277,775 — the blue band above. At the midpoint, this role pays about $340k versus about $241k for comparable roles.

Based on 240 similar postings.

Employer

About Regeneron

Regeneron is a leading science-driven biotechnology company that invents, develops, and commercializes life-transforming medicines for serious diseases.

Regeneron currently has 73 open roles on FindRole.

Listed pay typically runs $134,400–$241,200 across 46 roles with salary data.

Most-posted roles

View all roles at Regeneron

At a glance

TL;DR · Executive Director, Data Management, Analytics, AI & Architecture

The Executive Director - Data Management, Analytics, AI & Architecture will lead the strategy for commercial and G&A data capabilities. This leader will manage a high-performing team to develop scalable data architecture, analytics products, and self-service capabilities for departments including Finance, HR, and Procurement. Key responsibilities include owning the multi-year data strategy, establishing enterprise-wide governance, stewardship, and master data standards, and modernizing the data ecosystem through cloud platforms. The role requires expertise in BI, data modeling, and machine learning, with a focus on responsible AI practices and regulatory compliance like GxP and NIST AI RMF. The position solves the business problem of transforming enterprise data into trusted insights to drive operational excellence and measurable outcomes across global teams in a regulated industry.

What you'll do

  • Execute the multi-year data management, analytics, and enterprise data architecture strategy for Commercial and G&A functions.
  • Lead and develop a high-performing team of data management, analytics, and architecture professionals.
  • Deliver trusted data platforms, analytics products, and self-service capabilities for business leaders.
  • Establish enterprise-wide data governance, stewardship, quality, lifecycle management, and master data standards.
  • Modernize the data ecosystem through scalable cloud platforms, integration strategies, and architecture standards.
  • Advance AI and machine learning practices by identifying high-value use cases and managing regulatory risk.
  • Drive measurable business outcomes through improved data quality, automation, and process standardization.
  • Oversee vendor partnerships, data security, and architecture governance to ensure strategic value realization.

What we're looking for

  • BS/BA in Computer Science, Data Science, Information Systems, or a related field.
  • MS, PhD, or MBA (preferred).
  • 17+ years of progressive leadership in data management, data architecture, analytics, or business intelligence.
  • Experience in life sciences, biotechnology, or another regulated industry (preferred).
  • Deep command of modern data management, analytics, and enterprise architecture capabilities.
  • Experience establishing enterprise data governance frameworks and reference architecture standards.
  • Strong understanding of AI, machine learning, and agentic AI concepts, including model risk and responsible AI practices.
  • Familiarity with regulatory and risk frameworks relevant to AI and data in regulated industries (preferred).

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