Hiring.Camp

Executive Director - Data Management, Analytics, AI & Architecture

Regeneron

·

Yesterday

Salary
$255k – $425k
Location
SLEEPY HOLLOW, United States of America
Workplace
Onsite
Type
Full-time
Department
Engineering
Seniority
Director
Education
PhD
Source
Workday

Description

Regeneron is a leading biotechnology company built on a simple but powerful mission: to use the power of science to bring new medicines to patients, over and over again. Founded and led by physician-scientists, we've turned that mission into one of the industry's most productive pipelines, nearly all of it homegrown in our own laboratories, powered by proprietary technologies like our VelociSuite® platform. From Dupixent and EYLEA to a rapidly expanding portfolio across oncology, cardiovascular and metabolic disease, neuroscience, and rare disease, our science is reaching millions of patients worldwide, and we're just getting started.

As we invest billions in new manufacturing capacity, expand our global footprint, and build the next generation of digital and technology capabilities to match the scale of our ambition, Regeneron offers a rare combination: the resources and reach of an industry leader, paired with the energy, curiosity, and relentless focus on invention of a company still writing its next chapter. This is a place where technology doesn't just support the business, it accelerates the science that changes patients' lives.

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

Role Description

The 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.

What You'll Lead

  • 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.

What You Bring

  • 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? 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

Skills

Machine LearningData ScienceComplianceProcurement

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