Director, MIAM Decision Science Analytics

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

As a dedicated Director, MIAM Decision Science Analytics, you will be responsible for building and leading a team of data scientists and analysts to support the Member Identity and Access Management (MIAM) department within information security. This role is pivotal in developing a robust model risk management (MRM) process for MIAM models including future development of models, establishing a data-driven culture, and ensuring the reliable performance of MIAM systems and tools. The Director will also be responsible for building self-service data access capabilities and supporting data requests from across the organization. This role requires a highly skilled and experienced leader with a strong blend of technical expertise, leadership skills, and intuition for business. The successful candidate will be responsible for building an elite MIAM analytics team and ensuring the effective management of model risk.

Leads and develops a highly analytical staff that provides decision support for business areas across the enterprise. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change.

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 available for this position.

What you'll do:

• As a strategic partner, leads or collaborates with other analytical leaders in driving the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.

• Develops team reputation as highly skilled authorities in the area of decision science support.

• Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.

• Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

• Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs.

• Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to implement the approach that will influence business and lead change.

• Leads the effort and/or partners with enterprise analytics teams to build USAA core analytics capabilities and processes.

• Builds and leads all aspects of a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.

• Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.

• Maintains and innovates knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

• Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.

• Finds opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework).

• Works with IT/CTO partners to advance new data and platforms that correspond to evolving skills.

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