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Global Head of Data & AI Governance & Oversight, SVP

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: STATE STREET CORPORATION
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Security, Data Scientist
Salary/Wage Range or Industry Benchmark: 225000 - 337500 USD Yearly USD 225000.00 337500.00 YEAR
Job Description & How to Apply Below

Role Overview

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, the 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.

Key Responsibilities
  • Enterprise Data, AI & Agentic AI Governance
    • Define, maintain, and evolve enterprise‑wide policies, standards, and control frameworks for data governance, AI, GenAI, Agentic AI, responsible AI, AI risk classification, and third‑party AI usage.
    • Ensure governance applies across the full lifecycle of data and AI assets, from design through retirement.
  • Strategic Governance Target State (LOB Partnership)
    • Partner with each line of business to define and maintain the target state for Data and AI governance aligned to enterprise standards and regulatory expectations.
    • Translate enterprise governance principles into domain‑specific, actionable models and provide governance leadership into Data & AI roadmaps without owning delivery or architecture decisions.
  • Authoritative Data Sources, Ownership & Stewardship
    • Establish and operate the enterprise framework for authoritative data sources by data domain and key data element.
    • Partner with data owners and stewards to designate approved and trusted data sources, resolve conflicts, ensure lineage, data quality, and consistency across analytics, reporting, and AI use cases.
  • Enterprise Data Competency
    • Institutionalize the enterprise data governance operating model, including data ownership, steward roles, and accountable processes embedding data accountability into business functions.
  • AI Inventory, Classification & Streamlined Approvals
    • Own the enterprise inventory of AI initiatives and align inventories with NIST AI Risk Management Framework and regulatory expectations.
    • Design and operate tiered approval processes for all AI types ensuring intake, classification, routing to required partners, predictable timelines, and continuous improvement.
  • Model Risk Management Partnership
    • Ensure AI and ML use cases are appropriately classified and routed to MRM, aligning governance standards and approval workflows with MRM requirements while maintaining independence.
  • Data Quality & Incident Management
    • Define standards for data quality measurement, monitoring, and control; manage processes for data issues and incidents, including root cause analysis and remediation tracking.
  • Regulatory Leadership & Proactive Engagement
    • Act as the enterprise point of contact for regulators, audit, and external inquiries; assess emerging regulatory expectations and lead examinations, findings, and remediation programs.
    • Convert regulatory learnings into durable governance and process improvements.
  • Enterprise Partnership & Operating Model Stewardship
    • Partner with Data Architecture, Data & AI Platforms, Enablement teams, and business leaders to embed controls, approvals, and authoritative sourcing, while continuously evolving governance practices.
Rewards & Benefits

Salary Range: $225,000 - $337,500 Annual. The range quoted above applies to the role in the location specified. Employees are eligible to…

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