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Data & AI Governance Leader, MD

State Street

Data & AI Governance Leader, MD

full-timePosted: Aug 19, 2026Updated: Aug 28, 2026Massachusetts, Boston

Job Description

Who We are looking forData & AI Governance Leader, MD position is responsible to define and maintain enterprise Data, AI policies, standards, and governance operating model and serve a key point person for 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 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. What you will be responsible forEnterprise Data, AI & Agentic AI Governance Define, maintain, and evolve enterprise-wide policies, standards, and control frameworks for: Data governance and data management Responsible AI and AI risk classification 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. Provide governance leadership into Data & AI roadmaps without owning delivery or architecture decisions. 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 the lead for regulatory, audit, and supervisory engagement. 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. Education and Preferred Qualifications Required12+ years of experience in Data Governance, Data Management, AI Governance, Technology Risk, Operational Risk, Regulatory Affairs, or related disciplines.Significant experience operating within highly regulated financial services organizations.Demonstrated experience working directly with regulators and supervisory bodies, including FRB, ECB, OCC, PRA, MAS, FCA, or equivalent agencies.Deep understanding of Data Governance, Data Quality, Data Risk Management, Data Lineage, Metadata Management, and AI Governance frameworks.Experience supporting regulatory examinations, audits, remediation programs, and enterprise risk initiatives.Strong executive communication and stakeholder management skills, with the ability to influence senior leaders across business and technology functions.Proven ability to lead complex cross-functional initiatives without direct authority.PreferredExperience with BCBS 239, enterprise data management regulations, model risk management, and Responsible AI frameworks.Familiarity with NIST AI RMF, emerging AI regulations, and global supervisory expectations for AI governance.Knowledge of governance platforms and technologies such as Collibra, Informatica, Microsoft Purview, Alation, or similar solutions.Advanced degree in Business, Technology, Data Management, Risk Management, or a related field.Salary Range: $170,000 - $282,500 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.About State StreetAcross 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.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at StateStreet.com/careersRead our CEO StatementJob Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Locations

  • Massachusetts, Boston
  • New Jersey, Princeton
  • New Jersey, Clifton
  • Massachusetts, Quincy

Salary

170,000 - 282,500 USD / yearly

Skills Required

  • Data Governanceintermediate
  • BCBS 239intermediate
  • NIST AI RMFintermediate
  • governance platformsintermediate

Preferred Qualifications

  • Required (experience)
  • 12+ years of experience in Data Governance, Data Management, AI Governance, Technology Risk, Operational Risk, Regulatory Affairs, or related disciplines. (experience, 12 years)
  • Significant experience operating within highly regulated financial services organizations. (experience)
  • Demonstrated experience working directly with regulators and supervisory bodies, including FRB, ECB, OCC, PRA, MAS, FCA, or equivalent agencies. (experience)
  • Deep understanding of Data Governance, Data Quality, Data Risk Management, Data Lineage, Metadata Management, and AI Governance frameworks. (experience)
  • Experience supporting regulatory examinations, audits, remediation programs, and enterprise risk initiatives. (experience)
  • Strong executive communication and stakeholder management skills, with the ability to influence senior leaders across business and technology functions. (experience)
  • Proven ability to lead complex cross-functional initiatives without direct authority. (experience)
  • Preferred (experience)
  • Experience with BCBS 239, enterprise data management regulations, model risk management, and Responsible AI frameworks. (experience)
  • Familiarity with NIST AI RMF, emerging AI regulations, and global supervisory expectations for AI governance. (experience)
  • Knowledge of governance platforms and technologies such as Collibra, Informatica, Microsoft Purview, Alation, or similar solutions. (experience)
  • Advanced degree in Business, Technology, Data Management, Risk Management, or a related field. (degree in business)

Responsibilities

  • Enterprise Data, AI & Agentic AI Governance
  • Define, maintain, and evolve enterprise-wide policies, standards, and control frameworks for:
  • Data governance and data management
  • Responsible AI and AI risk classification
  • Ensure governance applies across the full lifecycle of data and AI assets, from design through retirement.

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