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About the Role

The Executive Director, Data Management & Architecture will lead a unified Data Management and Architecture function within Global Development IT, bringing together data enablement and architecture capabilities into a single end-to-end organization. This role will define the strategy for data platforms, AI architecture, and data governance while ensuring Global Development's technology landscape supports secure, scalable, and compliant data capabilities. The Executive Director will partner across Enterprise Data & AI, Enterprise Architecture, Information Security, and Global Development leadership to advance enterprise data priorities and enable business outcomes. This role reports to the Executive Director, Global Development IT and will collaborate closely with enterprise and business leaders to shape data strategy, architecture standards, and long-term technology investments.

Responsibilities

Own and lead the unified Data Management & Enablement function, integrating the current Data Enablement organization and its data engineering, analytics, and data repository capabilities into a single team.
Absorb and lead the Services & Architecture function, consolidating data delivery and architecture and creating one point of accountability for data across the vertical.
Drive Data platforms and standards, including advancing toward a validated, centralized data repository.
Build and scale a data engineering and analytics team, including growing capability in the Global Capability Center (India-based team) in partnership with GCC leadership.
Serve as Global Development's data and AI architecture authority, owning the end-to-end architecture strategy for data platforms, pipelines, and solutions within the vertical.
Provide domain-specific solution architecture, ensuring designs are scalable, compliant, and aligned to business strategy in adherence to Enterprise Architecture standards.
Define integration, API, and data exchange patterns between vertical systems and enterprise platforms, reducing point-to-point integrations and promoting reusable architecture components.
Represent Global Development at the Architecture Review Board (ARB), presenting proposed investments for approval and ensuring alignment with enterprise-wide standards.
Partner with Enterprise Data Governance and Data Quality Management teams to enforce data quality, lineage, and regulatory compliance standards (e.g., GxP) within Global Development.
Own data classification, access, and quality standards for clinical trial, safety, and regulatory data, ensuring audit-readiness across the data estate.
Establish clear data stewardship accountability across Global Development's data domains, in partnership with business and functional leaders.
Ensure master data management (MDM) and data catalog practices are adopted consistently across the vertical.
Partner with Enterprise Data & AI as the primary governance and standards partner, aligning on data platform usage, AI architecture patterns, AI governance, and MDM/data catalog adoption.
Coordinate with the enterprise Architect community on cross-vertical architecture and ARB participation, ensuring vertical architecture conforms to enterprise-wide standards.
Partner with Vertical Solution Architect on end-to-end solution design, ensuring domain architecture decisions reflect broader vertical delivery needs.
Maintain a clear, non-duplicative division of accountability between core enterprise AI and data capability delivery, owned by Enterprise Data & AI, and domain-specific architecture and delivery, owned by this role.
Partner with Information Security on data security architecture, AI risk controls, and compliance with data protection standards.
Build and lead a combined team spanning data enablement, data engineering, analytics, and architecture, defining a clear organizational structure and career paths for the function.
Recruit and develop senior technical talent, including growing architecture and engineering capability in the Global Capability Center (India-based team).
Serve as a mentor and technical authority for direct reports and the broader data community across Global Development.
Model and reinforce a culture of data governance discipline and architectural rigor across the organization.
Communicate data and AI architecture tradeoffs, platform investment needs, and long-term technology implications to business unit leadership.
Serve as a trusted advisor to senior Global Development IT and business leadership on data strategy, platform investments, and risk.
Prepare and deliver executive-level materials for governance forums, steering committees, and senior leadership on the health and roadmap of the data and architecture portfolio.
Build relationships with the Office of the CIO to ensure enterprise compliance considerations and enterprise-wide data investment decisions reflect Global Development's needs, surfacing technical debt and platform gaps as needed.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field (Master’s degree preferred).
17+ years of experience in product ownership or management roles, with a focus on enterprise platforms, PPM tools, TBM frameworks, and financial-based systems.
Experience in the biotech, pharma, or life sciences industry strongly preferred.
Track record leading organizational integration or restructuring of technical functions.
Deep expertise in enterprise data architecture, data modelling, reference architecture design, and system integration strategies.
Hands-on experience with cloud data platforms (e.g., AWS, Azure) and modern data platforms (e.g., Snowflake, Databricks).
Strong grounding in data governance frameworks, master data management (MDM), and data catalog practices.
Familiarity with GenAI and agentic AI/LLM architectural patterns, and how they apply to enterprise data platforms.
Experience integrating or consolidating data engineering, analytics, and architecture functions across teams.
Proven ability to lead complex, cross-functional data and architecture initiatives, delivering results across matrixed enterprise and business stakeholders in a fast-paced environment.
Exceptional ability to translate complex data and architecture tradeoffs into clear, executive-ready narratives for governance forums and senior leadership.
Experience establishing data governance frameworks and ensuring regulatory compliance (e.g., GxP) across clinical, safety, and regulatory data domains.
Experience in data governance, financial reporting, and compliance.
Strong stakeholder management across technical, business, and executive audiences; comfortable serving as a principal spokesperson for the function on highly significant matters.
Comfortable operating through cross-functional influence rather than direct authority, given shared accountability with Enterprise Data & AI, Information Security, and Enterprise Architecture.

Skills

Data Management
Data Architecture
Data Enablement
Data Engineering
Analytics
Data Repository
Data Platforms
AI Architecture
Data Governance
Cloud Data Platforms (AWS, Azure)
Modern Data Platforms (Snowflake, Databricks)
Master Data Management (MDM)
Data Catalog
GenAI
Agentic AI/LLM Architectural Patterns
System Integration
API Design
Data Exchange Patterns
Information Security
Data Quality Management
Regulatory Compliance (GxP)
Data Stewardship
Stakeholder Management
Executive Communication
Product Ownership
Enterprise Platforms
PPM Tools
TBM Frameworks
Financial Systems

Location

Sleepy Hollow, NY
Warren, NJ

Work Type

On-site (4 days/week)
Not fully remote

Experience Level

17+ years of experience

Education Level

Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field
Master’s degree preferred

Salary/Compensations

$255,000.00 - $424,900.00

Benefits

Relocation benefits
Annual bonuses or other incentive plans
Equity awards
Pension or retirement benefits
401(k) company match
Health and wellness programs
Fitness centers
Insurance benefits (medical, dental, vision, life and disability)
Paid time off
Family support benefits

About the Company

Regeneron believes we do our best work when we are together.
Many roles are required to be performed on-site.
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.
This posting is for an existing position in Canada.

Equal Opportunity

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.