Director of Business Data & Analytics – AI Governance

USAA•San Antonio, NC

1d•Hybrid

About The Position

The Director of Business Data and Analytics – AI Governance serves as a strategic leader in USAA’s AI governance function, shaping and executing enterprise-wide strategy for AI governance, risk management, and monitoring. The role integrates advanced analytics, regulatory requirements, and emerging technology trends to define and implement an end-to-end AI governance program. The Director provides executive-level insights, influences stakeholders across business, technology, and risk, and champions responsible AI practices in a highly regulated environment. Depending on placement, the Director oversees a functional team focused on Model Governance and Vendor AI Implementation, AI Strategy and Portfolio Management, or Technology AI Governance and Risk Management. The position requires working in the office four days per week and may be based in San Antonio, Texas; Plano, Texas; Phoenix, Arizona; or Charlotte, North Carolina. Relocation assistance is not available.

Requirements

Bachelor’s degree in Statistics, Mathematics, Operations Research, Engineering, or another quantitative field, or four years of relevant education and/or experience.
At least 8 years of progressive experience in data, analytics, AI/ML, technology, governance, risk management, or related disciplines in a complex, highly regulated environment.
At least 3 years of experience building, managing, and/or developing high-performing teams.
Demonstrated experience with AI/ML and the AI lifecycle, including governance of generative AI and agentic solutions.
Experience building, implementing, or materially maturing enterprise governance capabilities, operating models, policies, standards, and controls.
Experience translating regulatory, risk, and compliance expectations into actionable governance requirements, controls, monitoring, and remediation.
Experience partnering across business, technology, risk, compliance, model risk, data governance, information security, and privacy to drive enterprise outcomes.
Demonstrated ability to influence senior and executive leaders, navigate complex risk-reward tradeoffs, and drive strategic decisions.
Ability to translate complex AI, technology, data, and risk concepts into clear recommendations for executive audiences.

Nice To Haves

Master’s degree in a quantitative, technology, business, risk, or related discipline.
Experience establishing or scaling an enterprise AI governance or responsible AI program.
Experience with model risk management, AI risk management, technology risk, data governance, or regulatory examinations.
Experience advising senior executives or enterprise governance committees on significant AI risk and strategic decisions.
Management consulting or comparable enterprise transformation experience.
Relevant AI, risk, governance, data, privacy, security, or compliance certifications.
US military experience through service or as a military spouse/domestic partner.

Responsibilities

Define and lead enterprise strategy for AI risk management, evolving governance frameworks in response to emerging AI capabilities and regulatory changes.
Partner with senior business, technology, and risk leaders to integrate AI governance into the product development lifecycle while balancing innovation and risk mitigation.
Direct the identification, measurement, and aggregation of AI-related risks and oversee monitoring plans to keep exposures within institutional risk appetite.
Advise executive leadership on complex AI governance issues and provide actionable recommendations.
Establish, implement, and mature policies and practices governing responsible use of AI and agentic solutions across the enterprise.
Lead and facilitate cross-functional governance forums, guiding teams through compliance requirements and fostering data integrity and ethical AI deployment.
Oversee a functional team focused on Model Governance and Vendor AI Implementation, AI Strategy and Portfolio Management, or Technology AI Governance and Risk Management, depending on placement.