Job Summary       

The Opportunity

This Director of Business and Data Analytics offers a unique opportunity to shape how real-time and near-real-time data enable advanced, responsive experiences for members and IPs across phone, web, and mobile channels. The leader will guide a team responsible for defining the scope, requirements, and delivery of transactional, behavioral, service, navigational, and marketing data needed to enable transformational IP and member experiences in support of the D&S transformation program. The team will also accelerate Sales & Service Performance’s analytics capabilities by developing new analytical solutions and AI-enabled tools that deliver the insights needed to improve productivity and optimize experience. With broad cross-functional exposure and the opportunity to turn emerging technologies into practical, scalable solutions, this position provides an exceptional platform for leaders seeking to expand their enterprise impact and prepare for broader leadership opportunities.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you’ll do:

• 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.

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 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.