Director, Business and Data Analytics

USAA is a financial services organization focused on empowering its members to achieve financial security through competitive products, exceptional service, and trusted advice. The Director, Business and Data Analytics leads the strategy, development, and implementation of data and analytics sub-functions, platforms, and solutions. This role oversees information management, governance, reporting, analytics delivery, innovation, risk management, and high-performing teams.

Responsibilities:

• Leads and collaborates on the strategic, tactical, operational, and financial responsibilities associated with Function or Line of Business data storage, data preparation, data exploration, information governance, analytics and information delivery
• Oversees and coordinates the strategy of subfunctions in the establishment and execution on the delivery of information and analytics platforms and solutions to the business' key stakeholders and cross-functional partners
• Responsible for successful end to end process of information management, analytics and delivery
• Ensures industry trends and best practices are evaluated and integrated into current process, technology, and development of strategic plans
• Provides thought leadership and system thinking to influence relevant data, information, and application architecture decisions to include staying abreast of changes or evolution to industry standards
• Leads data reporting to identify reporting opportunities, analytics, and complex projects that includes retirement of reports and promotion of advanced self service capabilities
• Provides input on strategic insights to senior leaders and key stakeholders that contribute to functional objectives
• Understands the business direction, environment, and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change
• Influences and oversees innovation, provides direction on work prioritization, manages capacity, assists with problem resolution
• Oversees the Information delivery experience and risks to ensure teams maintain understanding of business processes, supporting data and applications and presentation of findings and recommendations
• Identifies and pursues opportunities to utilize advanced data a delivery and business solutions techniques to optimize their contribution to resolving business issues
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Requirements:

• Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, or quantitative field; OR 4 years of relevant education and/or experience
• 8 years data and analytics related experience, generating results in a complex financial services organization
• 3 years of people leadership experience in building, managing and/or developing high-performing teams
• Experience collaborating with key resources and stakeholders, influencing decisions and managing work to achieve strategic goals
• Strong business acumen in the areas of measuring business outcomes, business operations, industry practices and emerging trends
• Experience leading projects using Agile methodologies
• Experience conducting moderately large scale data analysis using internal and external data to support business decision making
• Proven ability to tell a story through data and communicate effectively with executive level leadership
• USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.)
• US military experience gained through military service or gained as a military spouse / domestic partner
• Experience analyzing customer interactions annually across business lines and channels
• Proven delivery of initiatives resulting in measurable improvements in customer experience, operational efficiency, or complaint reduction
• Strong technical expertise in SQL, Python, Streamlit, Tableau, and business intelligence tools supporting enterprise-scale analytics
• Experience leveraging process mining, journey analytics, or AI/ML solutions to identify friction and improve customer experiences