Global Head of Data & AI Governance & Oversight
State Street
Global Head of Data & AI Governance & Oversight
State Street
Holds assets for institutions and runs index funds
The Head of Data & AI Governance and Risk is accountable for ensuring that all enterprise Data, AI, and Agentic AI capabilities arewell‑governed, high‑quality, trusted, and regulator‑ready, while enabling innovation to scale safely across all lines of business.
This role defines and maintains theenterprise policies, standards, and governance operating modelfor Data and AI and serves as thesingle global point of accountabilityfor Data and AI–related regulatory, audit, and supervisory engagement.
The role operatesproactively, anticipating regulatory direction and strengthening the firm’s posture ahead of examinations. It actively engages inall ongoing regulatory effortsrelated 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 thestrategic 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 byregulatory confidence, enterprise trust, data quality, and speed enabled through strong governance and streamlinedprocesses.
Role Mandate
Establish andoperateenterprise-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 arewell‑governed, high‑quality, trusted, and regulator‑ready, while enabling innovation to scale safely across all lines of business.
This role defines and maintains theenterprise policies, standards, and governance operating modelfor Data and AI and serves as thesingle global point of accountabilityfor Data and AI–related regulatory, audit, and supervisory engagement.
The role operatesproactively, anticipating regulatory direction and strengthening the firm’s posture ahead of examinations. It actively engages inall ongoing regulatory effortsrelated 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 thestrategic 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 byregulatory 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 and data management
AI, GenAI, and Agentic AI
Responsible AI and AI risk classification
Third‑party and vendor AI usage
Ensure governance applies across thefull lifecycleof data and AI assets, from design through retirement.
Strategic Governance Target State (LOB Partnership)
Partner with each line of business to define and maintain thetarget state for Data and AI governancealigned to enterprise standards and regulatory expectations.
Translate enterprise governance principles intodomain‑specific, actionable models.
Provide governance leadership into Data & AI roadmaps without owning delivery or architecture decisions.
Authoritative Data Sources, Ownership & Stewardship
Establish and operate the enterprise framework forauthoritative data sourcesby data domain and key data element.
Partner with data owners and data stewards to:
Designate approved and trusted data sources
Resolve conflicts between competing sources
Ensure lineage, data quality, and fitness for purpose
Ensure consistent use of authoritative data sources across analytics, reporting, and AI use cases.
Enterprise Data Competency
Institutionalize the enterprise data governance operating model, including:
Data ownership and accountability
Data steward roles and responsibilities
Management of key data elements and critical data assets
Embed data accountability into business processes across all lines of business.
AI Inventory, Classification & Streamlined Approvals
Own theenterprise inventory of AI initiativesacross AI, GenAI, ML, and Agentic AI.
Ensure inventories, classifications, and definitions align withNIST AI Risk Management Frameworkand applicable regulatory expectations.
Design and operatestreamlined, tiered approval processesfor all AI types, ensuring:
Consistent intake and classification
Clear routing to required partners (e.g., Model Risk Management, Legal, Privacy, Security)
Predictable and efficient approval timelines
Monitor adherence to approval processes and continuously improve them to reduce friction and late-stage escalation.
Model Risk Management Partnership
Partner closely with theModel Risk Management (MRM)function.
Ensure AI and ML use cases are appropriately classified and routed to MRM where required.
Align governance standards andapprovalworkflows with MRM requirements without duplicating or owning MRM accountabilities.
Data Quality & Data Incident Management
Define enterprise standards for data quality measurement, monitoring, and control.
Own enterprise processes for data issues and incidents, including root cause analysis, remediation tracking, and escalation.
Partner with business and platform teams to embed preventive and detective quality controls.
Regulatory Leadership & Proactive Engagement
Act as thesingle enterprise point of contactfor regulators, audit, and external inquiries related to Data and AI.
Proactively assess emerging regulatory expectations and drive early alignment across the firm.
Coordinate and participate inall active regulatory effortsrelating to data, technology, and AI, working with appropriate bank owners.
Lead regulatory examinations, findings, and remediation programs (e.g., BCBS 239, MRAs).
Ensure regulatory learnings are converted into durable governance and process improvements.
Enterprise Partnership & Operating Model Stewardship
Partner with:
Data Architectureto align governance intent with target architectures
Data & AI Platformsto embed controls, approvals, and authoritative sourcing
Enablement teamsto operationalize compliant pathways
Business leadersto adopt governance consistently
Maintain independence from delivery while actively shaping enterprise design decisions.
Continuously evolve governance practices to match regulatory and technology change.
Salary Range:
$225,000 - $337,500 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
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Holds assets for institutions and runs index funds
State Street holds and services investments for pension funds, insurers, fund companies, and other large institutions, and it also runs index funds through State Street Investment Management. It launched the first US-listed exchange-traded fund, the SPDR S&P 500 ETF Trust, in 1993, and in 1924 it became custodian of the first US mutual fund. As a custody bank, it safekeeps clients' stocks and bonds, completes their trades, calculates what their funds are worth, and lends their securities to other investors. It earns fees on the assets it services and manages, plus income from currency trading and from interest on client cash. State Street traces its roots to a bank chartered in 1792 and is based in Boston, Massachusetts.
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