Data & AI Governance Leader, MD

Who We Are Looking For

Data & 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.

• 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.

• 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.

• 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 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.

• Required
• 12+ 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.
• Preferred
• Experience 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.

$170,000 - $282,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would…