Director, R&D Data Governance

AlkermesWaltham, MA

About The Position

This role is the first R&D-focused data governance position within Alkermes’ new Enterprise Data Management function and will play a foundational role in shaping how R&D data is governed, enabled, and scaled across the organization. Reporting to the Executive Director, Enterprise Data Management, you will support the establishment of the new function as well as help to define and operationalize the strategy and operating model that ensure R&D data is trusted, discoverable, secure, and usable across discovery, preclinical, and clinical domains. You will co-develop and operationalize the R&D data vision, multi-year roadmap, and governance framework—including data acquisition, curation, quality, metadata, and access controls—so scientists and analysts can reliably self-serve data while maintaining compliance and integrity. You will partner closely with R&D, IT, and enterprise Data & AI teams to make recommendations, align with functional leaders, and implement scalable data management capabilities that embed governance into day-to-day workflows. In this role, you will serve as a key connector across functions, translating scientific and business needs into recommendations around durable data products, policies, and processes that accelerate decision-making and innovation.

Requirements

  • First R&D-focused data governance position within Alkermes’ new Enterprise Data Management function.
  • Foundational role in shaping how R&D data is governed, enabled, and scaled.
  • Reporting to the Executive Director, Enterprise Data Management.
  • Support the establishment of the new function.
  • Help to define and operationalize the strategy and operating model.
  • Ensure R&D data is trusted, discoverable, secure, and usable across discovery, preclinical, and clinical domains.
  • Co-develop and operationalize the R&D data vision, multi-year roadmap, and governance framework—including data acquisition, curation, quality, metadata, and access controls.
  • Enable scientists and analysts to reliably self-serve data while maintaining compliance and integrity.
  • Partner closely with R&D, IT, and enterprise Data & AI teams to make recommendations, align with functional leaders, and implement scalable data management capabilities that embed governance into day-to-day workflows.
  • Serve as a key connector across functions, translating scientific and business needs into recommendations around durable data products, policies, and processes that accelerate decision-making and innovation.

Responsibilities

  • Support the establishment of the new Enterprise Data Management function.
  • Define and operationalize the strategy and operating model for R&D data governance.
  • Ensure R&D data is trusted, discoverable, secure, and usable across discovery, preclinical, and clinical domains.
  • Co-develop and operationalize the R&D data vision, multi-year roadmap, and governance framework (including data acquisition, curation, quality, metadata, and access controls).
  • Enable scientists and analysts to reliably self-serve data while maintaining compliance and integrity.
  • Partner with R&D, IT, and enterprise Data & AI teams to make recommendations and align with functional leaders.
  • Implement scalable data management capabilities that embed governance into day-to-day workflows.
  • Serve as a key connector across functions, translating scientific and business needs into recommendations around durable data products, policies, and processes.
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