Director, Data Scientist - P&C Claims

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.

The Opportunity

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, or Tampa, FL. Relocation assistance is available for this position.

Architect the Future of Claims with Scalable AI and Advanced Analytics—In Service of Those Who Serve

USAA Property & Casualty is seeking a strategic and technically skilled Director of Data Science to lead innovation for the Claims organization. This high-impact role goes beyond analytics—your work will directly enhance the claims experience for military members and their families. From reducing loss costs to accelerating resolution, your team’s models will drive meaningful outcomes that reflect our mission to serve those who serve.

Leads a team of Data Scientists responsible for identifying, prioritizing, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team’s projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team’s model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies.

What you’ll do:

• Acts as advanced analytics thought leader and advisor to the business to craft strategies that drive competitiveness and differentiation.

• Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.

• Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team’s success by simplifying processes across the model development lifecycle and driving automation.

• Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives.

• Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization.

• Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations.

• Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.

• Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.

• Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.

• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.

• 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master’s, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.

• 3 years of direct management experience.

• Strong communication skills; demonstrated ability to interpret and translate complex technical