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Managing Director, Regulatory Supervision

TIAA
AI GovernanceOn-siteFull-timeFrisco, TX$179,000 to $264,000

TIAA is hiring for the role of Managing Director, Regulatory Supervision, Frisco, TX (On-site). This is an AI Governance role in the governance, risk, and compliance field, with a posted range of $179,000 to $264,000. Review the full details below and apply directly with TIAA.

Organization: TIAALocation: Frisco, TXWorkplace: On-siteFocus: AI GovernanceSalary: $179,000 to $264,000Posted: Aug 18, 2026
TIAA is hiring for this AI Governance role in Frisco, one of the metros GRC Careers tracks for governance, risk, and compliance hiring. See other GRC roles in Frisco →

This position leads the Broker Dealer organization's supervisory, risk management, and oversight functions across TIAA's enterprise, driving organizational accountability, culture change, and operational excellence with national impact across all broker dealer operations. Key responsibilities include partnering with support groups to ensure operational excellence, providing regulatory early-warning systems, building comprehensive supervisory oversight structures, and leading transformational projects across financial management, policy development, and performance metrics, with a strong emphasis on FINRA and SEC compliance requirements. The role manages direct reports through performance feedback and formal reviews. Required qualifications: 10+ years of experience; university degree preferred; FINRA Series 7 and Series 24 registrations; and expertise in compliance, risk management, business process improvement, and relationship management. Salary $179,000 to $264,000. Onsite in Frisco, TX and Charlotte, NC.

Location and market context

This role is based in Frisco on-site. Local candidates benefit from being close to TIAA's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how TIAA would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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