Director of Business Data & Analytics - AI Governance

USAA Life Insurance Company; San Antonio (TX); Hybrid; USD 150,000 - 230,000; Full time

Job summary

USAA Life Insurance Company is seeking a Director of Business Data and Analytics - AI Governance to lead the enterprise AI governance, risk management, and monitoring program. You will synthesize analytics with regulatory requirements and drive responsible AI practices in a highly regulated environment.

You will oversee functional teams across areas like model governance, AI strategy, and technology governance, partnering with senior leaders to integrate governance into development lifecycles

Qualifications

• 8+ years of data, analytics, AI/ML, governance and risk management experience in a highly regulated environment.
• 3+ years of leading high-performing teams.
• Experience with AI lifecycle governance, including generative AI and agentic solutions.

Responsibilities

• Define and lead enterprise AI governance strategy and risk management.
• Partner with senior leaders to integrate AI governance into product development.
• Direct AI risk identification, measurement, and monitoring plans.
• Advise executives with actionable governance recommendations.
• Develop and mature policies and controls for responsible AI use.
• Lead cross-functional governance forums and ensure data integrity and ethical AI deployment.

Skills

AI governance

Risk management

Data governance

Regulatory compliance

Leadership

Executive communication

Education

Bachelor's degree in Statistics/Math/OR/Engineering

Master's degree in quantitative field or related

Job description

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

The Director of Business Data and Analytics - AI Governance will serve as a strategic leader within USAA's AI governance function, responsible for shaping and executing the enterprise-wide strategy for AI governance, risk management, and monitoring. This role requires a leader who can synthesize advanced analytics, regulatory requirements, and emerging technology trends to define and implement an end-to-end AI governance program. The Director will provide executive-level insights, influence cross-functional stakeholders across business, technology, and risk departments, and champion the implementation of responsible AI practices in a highly regulated environment.

Depending on the specific placement, the Director will oversee a functional team dedicated to one of the following key areas:

• Model Governance and Vendor AI Implementation
• AI Strategy and Portfolio Management
• Technology AI Governance and Risk Management

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, or Charlotte, NC. Relocation assistance is not available for this position.

What you’ll do:

• Strategic Governance Leadership: Define and lead the enterprise strategy for AI risk management, ensuring that governance frameworks evolve in tandem with emerging AI capabilities and shifting regulatory landscapes.
• Enterprise Influence: Partner with senior business, technology, and risk leadership to integrate AI governance into the product development lifecycle, ensuring a balance between innovation and risk mitigation.
• Risk Oversight & Mitigation: Direct the identification, measurement, and aggregation of AI-related risks. Oversee the development of sophisticated monitoring plans to ensure that exposures remain within institutional risk appetite.
• Executive Consulting: Act as a subject matter expert and trusted advisor to executive leadership, providing actionable recommendations for complex AI governance issues.
• Framework Development: Strengthen the control environment by establishing, implementing, and maturing the policies and practices that govern the responsible use of AI and agentic solutions across the enterprise.
• Cross-Functional Collaboration: Lead and facilitate cross-functional governance forums, guiding teams through complex compliance requirements while fostering a culture of data integrity and ethical AI deployment.

What you have:

• Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, or quantitative field; OR 4 years of relevant education and/or experience.
• 8+ years of progressive experience in data, analytics, AI/ML, technology, governance, risk management, or related disciplines in a complex, highly regulated environment.
• 3+ years of experience building, managing, and / or developing high-performing teams.
• Demonstrated experience with AI/ML and the AI lifecycle, including governance of emerging technologies such as 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 leadership, 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.

What sets you apart:

• 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 co