Jobs › Global Head of Data & AI Governance & Oversight, SVP
Global Head of Data & AI Governance & Oversight, SVP
Job at a glance
- Category
- AI Governance
- Work arrangement
- On-site
- Location
- Boston, MA
- Salary range
- $225,000 to $337,500
- Posted
- Aug 31, 2026
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State Street is hiring a Global Head of Data & AI Governance & Oversight, SVP in Boston, MA. This is a AI Governance job in the governance, risk, and compliance field, with a posted range of $225,000 to $337,500. Review the full details below and apply directly with State Street.
The Head of Data & AI Governance and Risk is accountable for ensuring that all enterprise Data AI and Agentic AI capabilities are well ‑ governed high ‑ quality trusted and regulator ‑ ready while enabling innovation to scale safely across all lines of business. This role defines and maintains the enterprise policies standards and governance operating model for Data and AI and serves as the single global point of accountability for Data and AI–related regulatory audit and supervisory engagement. The role operates proactively anticipating regulatory direction and strengthening the firm’s posture ahead of examinations. It actively engages in all ongoing regulatory efforts related to data risk and AI partnering with appropriate bank owners to ensure coordinated execution and durable remediation. In partnership with each line of business this role defines the strategic target state for Data and AI governance ensuring clarity and consistency across ownership stewardship authoritative sourcing data quality and approval expectations. The role is intentionally independent of platform build model development and use ‑ case delivery. Success is measured by regulatory confidence enterprise trust data quality and speed enabled through strong governance and streamlined processes . Role Mandate Establish and operate enterprise-wide governance risk and regulatory oversight for Data AI and Agentic AI including authoritative data sourcing and proactively elevate the firm’s regulatory posture while enabling streamlined standard approval of AI capabilities across the enterprise. Role Purpose The Head of Data & AI Governance and Risk is accountable for ensuring that all enterprise Data AI and Agentic AI capabilities are well ‑ governed high ‑ quality trusted and regulator ‑ ready while enabling innovation to scale safely across all lines of business. This role defines and maintains the enterprise policies standards and governance operating model for Data and AI and serves as the single global point of accountability for Data and AI–related regulatory audit and supervisory engagement. The role operates proactively anticipating regulatory direction and strengthening the firm’s posture ahead of examinations. It actively engages in all ongoing regulatory efforts related to data risk and AI partnering with appropriate bank owners to ensure coordinated execution and durable remediation. In partnership with each line of business this role defines the strategic target state for Data
Full responsibilities and requirements are on State Street's application page.
Apply for this job →Location and market context
This job is based in Boston, MA on-site. Local candidates benefit from being close to State Street's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance jobs
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. Jobs 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 job
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 State Street 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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