Executive Director, Enterprise Data
About this opportunity
Build our future together:
At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We're looking for an Executive Director of Enterprise Data to join our fast-moving Enterprise Data & AI organization. You'll be responsible for the integrity, accessibility, and governance of our enterprise data assets, making sure our proprietary scientific and clinical data is structured, governed, and ready for AI at scale. You'll build foundational data capabilities, from quality standards to the semantic layer that keeps definitions consistent across the company. This role reports to the VP, Enterprise Data & Information Management, and offers the chance to turn Regeneron's data into one of its biggest AI advantages.
When & where:
Location: This role is open to any of our Tri-State locations: Sleepy Hollow, NY, Tarrytown, NY, Armonk, NY, Warren, NJ or Cambridge, MA
Discover your role:
Enforce enterprise data quality standards, turning policy into day-to-day operating procedures
Lead master data management and data cataloging, keeping data assets inventoried and accessible
Own and run the enterprise semantic layer, keeping data definitions consistent across functions and AI systems
Build and maintain the enterprise business glossary and taxonomy
Lead development of knowledge graph infrastructure that supports advanced AI and scientific work
Design and deliver a federated, AI-ready data ecosystem across domains
Maintain GxP-compliant data standards, keeping regulated pipelines audit-ready
Own data privacy and security standards across the enterprise data estate
This role might be for you if you:
Have built data foundations that enable AI and analytics at enterprise scale
Bring deep, hands-on experience with data governance, master data management, and metadata management
Can operate as both strategist and technical leader in federated data architecture and semantic layers
Understand how data governance intersects with regulatory, clinical, and commercial requirements
Stay current on the AI data landscape, including vector databases, knowledge graphs, and RAG
Have experience partnering with distributed engineering teams, including global delivery models
Communicate and build influence across technology, business, science, legal, and regulatory teams
Enjoy developing data engineering and governance talent across disciplines
This role requires:
A Bachelor's degree in a related field (advanced degree required for certain scientific or clinical positions)
17+ years of experience in enterprise data management, data governance, or data architecture
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! 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 based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: 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, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/ . For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$255,000.00 - $424,900.00
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 9 comparable Executive/VP Data & Digital roles across 4 biopharma companies.
Salary context
7 of 9 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 9 comparable roles
Seniority mix
9 of 9 peers have a known seniority level
Therapeutic area mix
3 of 9 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.