Data & AI Governance Leader
About The Position
The Data & AI Governance Leader, VP position is responsible for defining and maintaining enterprise Data and AI policies, standards, and the governance operating model. This role serves as 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.
Requirements
- Define and maintain enterprise Data, AI policies, standards, and governance operating model.
- Serve as a key point person for regulatory, audit, and supervisory engagement.
- Operate proactively, anticipating regulatory direction and strengthening the firm’s posture ahead of examinations.
- Actively engage in all ongoing regulatory efforts related to data, risk, and AI, partnering with appropriate bank owners to ensure coordinated execution and durable remediation.
- Define the target state for Data and AI governance in partnership with each line of business, ensuring clarity and consistency across ownership, stewardship, authoritative sourcing, data quality, and approval expectations.
- Be independent of platform build, model development, and use-case delivery.
- Define, maintain, and evolve enterprise-wide policies, standards, and control frameworks for data governance and data management.
- Define, maintain, and evolve enterprise-wide policies, standards, and control frameworks for 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.
Nice To Haves
- Experience with BCBS 239, MRAs.
Responsibilities
- 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.
Benefits
- 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
- eligibility for certain tax advantaged savings plans
- inclusive development opportunities
- flexible work-life support
- paid volunteer days
- vibrant employee networks
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
