Executive Director, Data Scientist – AML Modeling, Analytics

USAA

Executive Director, Data Scientist leading a team focused on AML modeling and analytics solutions. Innovating machine learning capabilities to meet business strategic goals in a financial services organization.

Posted 6/19/2026full-timeCharlotte • North Carolina, Texas • 🇺🇸 United StatesLead💰 $224,250 - $403,650 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Leads a team of AML professionals responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to support AML and Sanctions programs
Influences the creation and execution of operational and strategic plans by leveraging deep technical acumen and in-depth understanding of business processes
Influences IT and other areas to build major improvements to analytical processes and systems
Maintains relationships with academic and industry thought leaders to ensure access to cutting-edge thinking and technologies
Responsible for defining and innovating machine learning capabilities that enable business to meet strategic goals
Collaborates with key stakeholders to gather, analyze, and determine data and information requirements
Responsible for the exploration of promising new technologies, analytical methods, and data sources that have potential to add value to the enterprise
Accountable for solutions that influence decision makers and drive change
Builds and leads a high performing team of experts in advanced analytics
Strengthens data stewardship, manages information risk, and collaborates in division and enterprise data and analytics leadership forums

Requirements

What you’ll need

Bachelor's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or directly related field; OR 4 years of related experience may be substituted in lieu of degree
10 years of experience in predictive modeling, large data analysis and computer science
4 years of people leadership experience in building, managing and/or developing high-performing applied analytics teams
Experience in stochastic modeling, machine learning, and other advanced mathematical techniques
Extensive knowledge in at least one advanced analytics programming language (e.g., Python, R, etc.)
A strong track record of communicating results, insights, and technical solutions to Senior Executive Management
Extensive experience in data mining and statistical analysis
Demonstrated pattern recognition and predictive modeling skills
Knowledge and application of Data Science principles and experience with data science methodologies
Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks
Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within customers' organization
Demonstrated experience leading business or product/portfolio transformation through use of advanced analytics
Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.

Benefits

Comp & perks

comprehensive medical, dental and vision plans
401(k)
pension
life insurance
parental benefits
adoption assistance
paid time off program with paid holidays plus 16 paid volunteer hours
various wellness programs
career path planning and continuing education

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive analyticsmachine learningstochastic modelingdata miningstatistical analysisPythonRGaussian ProcessMarkov ModelsNeural Networks

Soft Skills

people leadershipcommunicationcollaborationinfluencingteam buildinganalytical thinkingproblem solvingrelationship managementchange managementdata stewardship