Lead Decision Science Analyst - P&C Claims GenAI

About the Role

We are seeking a skilled Lead Decision Science Analyst to join our team in a role that encompasses several critical areas of expertise. This individual will be responsible for:

• AI Decision Evaluation & Optimization: assessing, validating, and enhancing GenAI-generated recommendations to drive superior business outcomes and decision quality.
• Experimentation & Causal Analytics: A/B testing, causal inference, and impact measurement to quantify the true business value of GenAI solutions and differentiate correlation from causation.
• Unstructured Data & NLP Analytics: extracting insights from diverse text-based data sources such as claims notes and documents, utilizing NLP and semantic analysis techniques.
• Responsible AI & Governance: ensuring AI-assisted decisions are trustworthy and auditable through a solid understanding of AI risks, bias detection, explainability, compliance, and governance.
• Business Translation & Decision Intelligence: translating complex business problems into AI-driven decision strategies, defining key success metrics, and integrating GenAI seamlessly into operational workflows.

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

Responsibilities

• Leverages expert business, analytical, and technical knowledge to lead discussions with cross-functional teams to understand and collaborate on highly complex business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.
• Organizes and oversees the development of requirements/resources necessary to meet established objectives.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change.
• Translates recommendations into communication materials to effectively present to all levels of management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease understanding for less technical audiences.
• Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation, and testing to facilitate peer reviews and compliance requirements.
• Monitors, understands, and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Researches and pursues the latest and/or industry-leading practices in data and analytics (e.g., Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
• Identifies opportunities to continue learning in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up) or formal (e.g., certifications or advanced coursework).
• Innovates to create new and emerging data sets, and incorporates (data wrangling, data munging) into new insights.
• 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 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 experience in a decision support analytic function OR Advanced degree in relevant discipline and 6 years of experience in a decision support analytic function.
• Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• 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.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Skills

• AI Decision Evaluation & Optimization: Ability to assess, validate, and improve GenAI-generated recommendations, ensuring they drive better business outcomes and decision quality.
• Experimentation & Causal Analytics: Expertise in A/B testing, causal inference, and impact measurement to quantify the value of GenAI solutions and separate true business impact from correlation.
• Unstructured Data & NLP Analytics: Ability to derive insights from claims notes, documents, communications, and other text-based data using NLP and semantic analysis techniques.
• Responsible AI & Governance: Knowledge of AI risks, bias detection, explainability, compliance, and governance to ensure AI-assisted decisions are trustworthy and auditable.
• Business Translation & Decision Intelligence: Ability to translate business problems into AI-enabled decision strategies, define success metrics, and embed GenAI into operational claims workflows.
• US military experience gained through military service or gained as a military spouse/domestic partner.

Pay

The salary range for this position is $143,320 - $273,930. USAA does not provide visa sponsorship for this role.

Benefits

• Comprehensive medical, dental, and vision plans.
• 401(k) and pension plans.
• Life insurance.
• Parental benefits and adoption assistance.
• Paid time off program with paid holidays plus 16 paid volunteer hours.
• Various wellness programs.
• Career path planning and continuing education to assist with professional goals.