Global Head of Data & AI Governance & Oversight, SVP

About State Street At State Street, we deliver leading investment platforms, data, expertise, and solutions that accelerate performance and better decision making. With over 200 years of global financial leadership, we equip institutional investors through a comprehensive suite of capabilities: Investment Services: Integrated front-to-back solutions across custody, accounting, and operations. Investment Management: Index and active strategies from one of the world’s largest asset managers. Markets: Multi-asset trading, FX solutions, and data-driven research to enhance portfolio value. Who We Are • 50,000+ employees worldwide • Active in 100+ markets • #1 in ETF servicing What You’ll Find Here • Executive perspectives and thought leadership • Timely market commentary and macro insights • Our views on investment operations, ETFs, private markets, and digital finance • Stories reflecting our culture, values and commitment to diversity and inclusion

State Street

Investment ManagementCustodianETFFinancial productsFund AccountingRelationship ManagementResearchTradingand Investment Servicing

S

statestreet.com

10,001+ employees

Financial Services

Boston, Massachusetts

1792

Public Company

897k LinkedIn followers

Raised $15.3B

• 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.
• 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.
• Define, maintain, and evolve enterprise-wide policies, standards, and control frameworks for
• Data governance and data management
• Responsible AI and AI risk classification
• Third‑party and vendor AI usage
• Ensure governance applies across the full lifecycle of data and AI assets, from design through retirement.
• 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.
• Provide governance leadership into Data & AI roadmaps without owning delivery or architecture decisions.
• Establish and operate the enterprise framework for authoritative data sources by data domain and key data element.
• 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.
• Management of key data elements and critical data assets
• Embed data accountability into business processes across all lines of business.
• Own the enterprise inventory of AI initiatives across AI, GenAI, ML, and Agentic AI.
• Ensure inventories, classifications, and definitions align with NIST AI Risk Management Framework and applicable regulatory expectations.
• Design and operate streamlined, tiered approval processes for 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.
• Partner closely with the Model Risk Management (MRM) function.
• Ensure AI and ML use cases are appropriately classified and routed to MRM where required.
• Align governance standards and approval workflows with MRM requirements without duplicating or owning MRM accountabilities.
• 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.
• Act as the single enterprise point of contact for 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 in all active regulatory efforts relating 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 Architecture to align governance intent with target architectures
• Data & AI Platforms to embed controls, approvals, and authoritative sourcing
• Enablement teams to operationalize compliant pathways
• Business leaders to adopt governance consistently
• Maintain independence from delivery while actively shaping enterprise design decisions.
• Continuously evolve governance practices to match regulatory and technology change.

• Institutionalize the enterprise data governance operating model, including
• Data ownership and accountability

• The 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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