Executive Director: Data Management, Analytics, AI & Architecture

Regeneron

United States

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

Regeneron is seeking an Executive Director, Data Management & Architecture to lead a unified data function within Global Development IT. The role defines strategy for data platforms, AI architecture, and governance, ensuring secure, scalable data capabilities.

Collaboration across Enterprise Data & AI, Enterprise Architecture, and Information Security will shape data priorities and enable business outcomes.

Qualifications

  • Requires proven leadership of data management and architecture in a complex, regulated environment.
  • Experience aligning data platforms with business strategy and governance.
  • Strong collaboration across IT, security, and business leadership is essential.

Responsibilities

  • Lead the unified Data Management & Enablement function across the organization.
  • Oversee data platform strategy, architecture standards, and governance.
  • Represent data domain in architecture reviews and cross-functional initiatives.
  • Partner with Enterprise Data & AI and Enterprise Architecture to align standards.
  • Drive regulatory compliance and data quality initiatives (e.g., GxP).
  • Build and mentor a high-performing data engineering and analytics team.

Skills

Data governance
Data architecture
Leadership
Strategic planning
Stakeholder management

Job description

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.

Where and When

This is an on-site position 4 days/week, primarily based at our Sleepy Hollow, NY or Warren, NJ office. If eligible, we can offer relocation benefits; we cannot offer a fully remote option.

Key Responsibilities
Data Management & Enablement Leadership
  • 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.
Data & Solutions Architecture (Domain Authority)
  • 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.
Data Governance & Regulatory Compliance
  • 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.
Partnership with Enterprise Data & AI and Enterprise Architecture
  • 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.
Organizational Leadership & Talent
  • 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 orga
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