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Head of Privacy, AI & Data Governance
Role at a glance
- Category
- AI Governance
- Work arrangement
- Hybrid
- Location
- Boston, MA
- Posted
- Jul 20, 2026
Takeda Pharmaceuticals is hiring a Head of Privacy, AI & Data Governance in Boston, MA. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Takeda Pharmaceuticals.
Serves as the global enterprise leader for privacy, responsible AI governance, and personal data oversight within Takeda's Global Ethics & Compliance leadership team. Establishes governance frameworks and standards that embed Privacy by Design and Responsible AI principles across digital initiatives, research, and commercial applications. Advises executive leadership on emerging global regulations and digital trust
Full responsibilities and requirements are on Takeda Pharmaceuticals's application page.
Apply for this role →Location and market context
This role is based in Boston, MA on a hybrid schedule. Local candidates benefit from being close to Takeda Pharmaceuticals's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Takeda Pharmaceuticals would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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