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Data & AI Governance & Ethics Lead

USAA

Job at a glance

Category
AI Governance
Work arrangement
Hybrid
Location
San Antonio, TX
Posted
Aug 10, 2026
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USAA is hiring a Data & AI Governance & Ethics Lead in San Antonio, TX. This is a AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with USAA.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a Data & AI Governance & Ethics Lead , you will provide governance, quality, integrity and timeliness of operational data for the Association. You will monitor the use of data to ensure careful control and effective use to achieve Association objectives while leading cross-functional teams in the development of information and data governance initiatives. You will monitor and interpret emerging AI regulations, legislation, regulatory guidance, and industry standards, including state-level AI laws, and other requirements impacting the use and deployment of AI. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, or Charlotte, NC. Relocation assistance is not available for this position. What you'll do: - Use advanced data management domain knowledge of people, process, technologies, audit and risk in the context of the business, to drive adherence to information/data management governance activities, projects and approaches that are compliant with established policies and standards. Influences/drives business awareness of information/data governance through work activities, consulting, and various communication methods for business, technology, security, legal, risk, and compliance partners. - Author and/or be a key contributor to information governance guidelines, principles, policies, and standards for information / data stewards, technology execution teams, and stakeholders. - Lead the development of information governance oversight processes, measurement approach and enforces adherence to information management policies, standards and capabilities through audits, peer reviews, and monitoring of KRIs and KPIs. - Influence, drive and support

Full responsibilities and requirements are on USAA's application page.

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About USAA
Hiring for governance, risk, and compliance jobs on GRC Careers.
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Location and market context

This job is based in San Antonio, TX on a hybrid schedule. Local candidates benefit from being close to USAA's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance jobs

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. Jobs 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 job

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 USAA 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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