Director, Decision Science Analytics - Finance Analytics

USAA•Tampa, FL

2d•Hybrid

About The Position

The Director, Decision Science Analytics is a Finance analytics leader supporting both the Chief Accounting Office and Chief Investments Office at USAA. This role owns the analytics delivery across General Accounting, Tax, Internal Controls, External Reporting, Reconciliations, and Corporate Investments. The Director drives insights and modernizes Finance's capabilities by automating manual processes and building scalable, trusted data solutions on enterprise platforms. This leader serves as the critical analytics bridge between Finance business partners and technology. The right candidate will bring deep expertise across Oracle Fusion Cloud ERP and Oracle EPM Cloud, including hands‑on experience with Oracle Fusion Data Intelligence (FDI) and Oracle Narrative Reporting, enabling advanced financial analytics and enterprise reporting. This individual will possess expert‑level Snowflake experience, paired with strong proficiency in enterprise BI tools such as Tableau, Sigma, and/or SAP Business Objects to deliver scalable, high‑impact insights. The candidate will have a proven track record of automating manual Finance and Accounting processes, working in close partnership with data engineering and IT solution delivery teams to drive efficiency, accuracy, and control. Strong Finance domain expertise, spanning accounting and investment functions, is essential, along with the ability to translate complex financial data into actionable insights that support strategic decision‑making. 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, Phoenix, AZ, or Charlotte, NC Relocation assistance is not available for this position.

Requirements

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
3 years of direct team lead or management experience.
Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels.
Modernizes 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.
Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Nice To Haves

Deep expertise in Oracle Fusion Cloud ERP and Oracle EPM Cloud, including Oracle Fusion Data Intelligence (FDI) and Oracle Narrative Reporting
Expert-level Snowflake experience combined with proficiency in enterprise BI tools (Tableau, Sigma, or SAP Business Objects)
Proven track record automating manual Finance processes in partnership with data engineering and IT solution delivery
Strong Finance domain knowledge across accounting and investments.

Responsibilities

As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.
Develops team reputation as highly skilled experts 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 execute the approach that will influence business and drive change.
Leads the effort and/or partners with analytics teams to build USAA core analytics capabilities and processes.
Builds and oversees 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.
Identifies 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 skill sets.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.