USAA is transforming how Property & Casualty leverages, governs, and manages data across the enterprise. As part of a broader evolution of the P&C Data & Analytics operating model, the AVP, Data Trust & Enablement will build and lead a best-in-class data governance, data quality, and data risk management function that enables trusted, compliant, and actionable data across the business.
Reporting directly to the VP of USAA’s P&C Transformation & Ventures Office (TVO), this executive will help shape the future of data management within one of the nation’s leading personal lines insurers. Supporting a business that manages approximately $40 billion in annual Property & Casualty premium volume, this leader will ensure the data underpinning pricing, underwriting, claims, reserving, financial reporting, product management, and member experience is trusted, well-governed, and fit for decision-making at scale.
The role has been created to establish clear ownership and accountability for data trust across P&C. As the single accountable executive for data governance, data quality, and data risk, this leader will help address longstanding challenges while building sustainable capabilities that strengthen how USAA manages, monitors, controls, and leverages one of its most strategic assets: data.
This is a highly visible leadership opportunity with enterprise-wide impact. The successful candidate will partner closely with leaders across Product, Pricing, Underwriting, Claims, Sales & Marketing, Service, Risk, Compliance, Finance, and Technology to strengthen data accountability, improve data quality, enhance audit readiness, and build confidence in the information used to drive critical business decisions.
Importantly, this is not a traditional governance role focused on policy creation. USAA is seeking a proven practitioner who has successfully operationalized governance and quality programs within a complex insurance environment, driven large-scale remediation efforts, and improved trust in critical business data. Success will require the ability to identify root causes, establish sustainable corrective actions, and embed governance, controls, and stewardship into day-to-day business operations.
The AVP, Data Trust & Enablement occupies a unique position within USAA’s future-state operating model. The organization brings together Business Analytics & Data Enablement, Applied AI & Innovation, Strategic Ventures & Ecosystems, and Enterprise Portfolio Strategy capabilities that are collectively transforming how USAA serves members and operates its Property & Casualty business. As analytics, AI-enabled solutions, predictive models, telematics capabilities, connected-risk products, and new data-driven experiences continue to scale, this leader will provide the trust, governance, and control foundation that enables those capabilities to operate effectively and responsibly.
Success in this role requires more than governance expertise. The ideal candidate must understand how insurance data is created, transformed, consumed, and relied upon throughout the P&C value chain, and how data quality issues ultimately impact pricing, underwriting, claims, reserving, financial reporting, regulatory compliance, and member outcomes.
For leaders passionate about transforming how insurers leverage data, analytics, and artificial intelligence, few opportunities offer the combination of strategic impact, executive visibility, organizational sophistication, and enterprise-wide influence found within USAA’s Property & Casualty Transformation & Ventures Office. This is a rare opportunity to build a lasting legacy by establishing the data trust foundation for one of the industry’s most advanced P&C transformation organizations.
At USAA, AVPs in Business and Data Analytics oversee the identification and development of business analytics programs in line with overall company goals and principles. Executives in these roles are responsible for strategies that deliver compliant data and information solutions that lead to improvement and optimization in business performance and risk minimization. These executives also work in collaboration with other business leaders to drive decisions based on data, facts and analytical findings across different parts of the organization.