Decision Science Analyst Lead - Bank

USAA•Tampa, FL

1d•$143,320 - $273,930•Hybrid

About The Position

The Decision Science Analyst Lead serves as a strategic partner to Contact Center leaders, leveraging advanced analytics, predictive modeling, experimentation, and AI-driven insights to improve member experience, operational performance, and business outcomes. This role translates complex data into actionable strategies and drives measurable impact through collaboration with business, technology, and analytics partners. 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, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

Requirements

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
8 years of data & analytics experience OR advanced 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 and 6 years of experience in data/analytics or functional business experience within the Banking industry.
Expert experience applying statistical, predictive, profitability, and portfolio analytics to drive business strategy, risk management, operational execution, and financial outcomes.
Demonstrated ability to frame ambiguous business problems, develop testable hypotheses, evaluate tradeoffs, and convert analysis into implementable, business strategies for senior leaders.
Advanced experience integrating, transforming, validating, and analyzing new internal and external data sources to generate business insights.
Demonstrated business acumen, strategic thinking, and executive-level communication and presentation skills with the ability to influence senior leaders and drive strategic decisions.
Expert 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.

Nice To Haves

US military experience gained through military service or gained as a military spouse / domestic partner.
Banking or financial services experience supporting Contact Center strategy, customer operations, workforce optimization, or member experience initiatives.
Proven experience designing and deploying predictive models, experimentation frameworks, and decision science solutions in a production environment.
Advanced proficiency with Python, SQL, Snowflake, Streamlit, and Tableau, including development of scalable analytical applications and self-service insights.
Experience identifying and delivering business value through Generative AI, large language models (LLMs), AI agents, or conversational analytics solutions.

Responsibilities

Leads proactive assessment of emerging risks, performance gaps, customer behavior shifts, operational friction points, and growth opportunities by monitoring portfolio trends, external market conditions, and business performance indicators.
Leverages expert business, analytical, statistical, and technical knowledge to lead discussions with cross-functional teams, understand highly complex business objectives, and drive solution strategies.
Applies innovative and scientific/quantitative methodologies, expert analytics, and critical thinking techniques to identify portfolio risks and opportunities and develop strategic recommendations that drive business performance and profitable growth.
Utilizes expert quantitative analysis and scientific techniques to bring structure and clarity to ambiguous business challenges and identify root causes, trends, and performance drivers.
Organizes and oversees the development of requirements necessary to meet objectives and works to ensure adequate staffing.
Leads the development of business cases and strategic recommendations that balance business needs, risk considerations, operational impacts, and profitability objectives.
Translates recommendations and analytical findings into executive-level communication materials utilizing data visualization and storytelling techniques that effectively influence executive decision-makers.
Thoroughly documents assumptions, methodologies, testing approaches, validation results, implementation requirements, and performance monitoring processes to support sound governance and compliance expectations.
Leads partnerships with business, risk, technology, operations, and control stakeholders to translate analytical recommendations into executable strategies, define success metrics, support implementation, monitor post-launch performance, and recommend optimization actions.
Develops internal talent through thought leadership, coaching, and mentoring to analysts and business partners regarding quantitative analytics, strategy development, risk management, and methodologies.
Provides guidance on and acts as a champion for innovation within the Bank by monitoring industry developments, evaluating emerging analytical capabilities, and recommending adoption of new methodologies, tools, and technologies that create measurable business value and competitive advantage.
Actively researches and experiments with emerging analytical approaches, data assets, AI-enabled solutions, and decision science techniques to expand organizational capabilities and improve portfolio growth, risk, and profitability outcomes.
Partners with stakeholders across lines of defense and business functions to design, execute, and improve solutions that support portfolio growth, operational effectiveness, and regulatory compliance.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.