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Regeneron Pharmaceuticals

Develops biopharmaceutical therapies for serious diseases

Executive Director: Data Management - Analytics, AI & Architecture

Data ManagementUpdated on Nov 13
Full-time$255k - $424.9k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field is required; a master's degree is preferred.
  • At least 17 years of experience in product ownership or management roles, focused on enterprise platforms, PPM tools, TBM frameworks, and financial-based systems.
  • Experience in the biotech, pharma, or life sciences industry is strongly preferred.
  • A track record of leading organizational integration or restructuring of technical functions is required.
  • Deep expertise in enterprise data architecture, data modelling, reference architecture design, and system integration strategies is required.
  • Hands-on experience with cloud data platforms such as AWS or Azure and modern data platforms such as Snowflake or Databricks is required.
  • Strong grounding in data governance frameworks, master data management, and data catalog practices is required.
  • Familiarity with GenAI and agentic AI/LLM architectural patterns and their application to enterprise data platforms is required.
  • Experience integrating or consolidating data engineering, analytics, and architecture functions across teams is required.
  • Ability to lead complex, cross-functional data and architecture initiatives and deliver results across matrixed enterprise and business stakeholders is required.
  • Ability to translate complex data and architecture tradeoffs into clear, executive-ready narratives for governance forums and senior leadership is required.
  • Experience establishing data governance frameworks and ensuring regulatory compliance, such as GxP, across clinical, safety, and regulatory data domains is required.
  • Experience in data governance, financial reporting, and compliance is required.
  • Strong stakeholder management across technical, business, and executive audiences, including serving as a principal spokesperson for the function on significant matters, is required.
  • Ability to operate through cross-functional influence rather than direct authority, given shared accountability with Enterprise Data & AI, Information Security, and Enterprise Architecture, is required.

Responsibilities

  • Own and lead the unified Data Management & Enablement function, integrating the existing 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 advancement toward a validated, centralized data repository.
  • Build and scale a data engineering and analytics team, including growing capability in the India-based Global Capability Center in partnership with its leadership.
  • Serve as Global Development's data and AI architecture authority and own the end-to-end architecture strategy for data platforms, pipelines, and solutions within the vertical.
  • Provide domain-specific solution architecture and ensure designs are scalable, compliant, aligned to business strategy, and adhere 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, present proposed investments for approval, and ensure alignment with enterprise-wide standards.
  • Partner with Enterprise Data Governance and Data Quality Management teams to enforce data quality, lineage, and regulatory compliance standards, including 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 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 master data management and data catalog adoption.
  • Coordinate with the enterprise Architect community on cross-vertical architecture and Architecture Review Board participation, ensuring vertical architecture conforms to enterprise-wide standards.
  • Partner with the Vertical Solution Architect on end-to-end solution design, ensuring domain architecture decisions reflect broader vertical delivery needs.
  • Maintain a clear 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 the function's organizational structure and career paths.
  • Recruit and develop senior technical talent, including growing architecture and engineering capability in the India-based Global Capability Center.
  • 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.

Desired Qualifications

  • Experience in the biotech, pharma, or life sciences industry.
  • A master's degree.
  • TOGAF (The Open Group Architecture Framework) certification.
  • DAMA CDMP (Certified Data Management Professional) certification.
  • PMP or equivalent project/program management certification.
  • Cloud platform certification on an AWS, Azure, or GCP data or architecture track.

About the Company

Regeneron Pharmaceuticals

Develops biopharmaceutical therapies for serious diseases

Regeneron Pharmaceuticals develops and commercializes medicines for serious diseases, with a focus on cancer, eye diseases, allergic and inflammatory diseases, and infectious diseases. Its products come from using proprietary research capabilities and technologies to discover and develop therapies, often in collaboration with academic, research, and industry partners. Revenue comes from selling approved medicines and from licensing its technologies and entering co-development and co-commercialization partnerships. The company works with healthcare providers and regulators to ensure treatment delivery and safety. Its goal is to improve patient outcomes by bringing life-transforming medicines to market through rigorous R&D and strategic collaborations, maintaining leadership in biopharmaceutical innovation.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Mount Pleasant, New York
Founded
1988

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