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Job Description

Title: Head of R&D Medical DDT Data Governance & Modeling

Location: Cambridge, MA

About the role:

As a Head of R&D Medical DDT Data Governance & Modeling, you will be a part of the R&D Medical DD&T organization, accountable for setting enterprise-wide direction for data governance, master data management, and data modeling across R&D and Global Medical. You will define the operating model, standards, and capabilities that underpin trusted, AI-ready data foundations. You will also ensure that R&D and Global Medical data is well governed, semantically rich, interoperable, and fit for advanced analytics and AI, through the design and implementation of modern data models, ontologies, and governance frameworks. You will play a critical leadership role across R&D Data Foundations, partnering closely with scientific, medical, and technology leaders to enable high-impact programs such as R&D of the Future (RDoF) and AedificaFortis (AF). 

How will you contribute:

• Define and own the R&D Medical data governance strategy, including policies, standards, stewardship models, and operating mechanisms that ensure data quality, integrity, security, and regulatory compliance across the R&D data lifecycle.   This includes setting and driving consistent governance expectations across Research, Development, and Global Medical data domains.

• Lead the design and implementation of master data management (MDM) capabilities required to support pipeline, program, and portfolio execution across R&D Medical.

• Establish governance frameworks that are embedded in platforms and workflows, enabling scalable, automated governance rather than manual oversight. 

• Provide technical and strategic leadership for data modeling and ontology development, ensuring that R&D Medical data is harmonized, interoperable, and semantically meaningful across domains.

• Drive the application of modern data modeling methodologies (conceptual, logical, and physical) and semantic technologies to support unified data layers, knowledge graphs, and AI ready data assets.

• Ensure alignment of data models and ontologies with enterprise and R&D‑wide standards, while meeting the specific needs of R&D Medical and scientific use cases. 

• Ensure governance, modeling, and data foundations are intentionally designed to enable scalable analytics, machine learning, and generative AI use cases at enterprise scale.

• Partner with Data & AI Enablement and platform teams to ensure that data products are discoverable, reusable, and optimized for AI‑driven insight generation.

• Stay at the forefront of emerging technologies and methodologies in data governance, semantic modeling, and AIready data architecture, bringing innovation into practical application.

• Transform siloed data disciplines into an integrated semantic data foundation approach that defines and reuses meaning, structure, and governance rules across data governance, ontology, and modeling. 

• Program Leadership & Enterprise Impact.

• Serve as a senior leader across R&D Data Foundations, accountable for the data governance and semantic foundations supporting enterprise-critical pr