Lead a team of Data Scientists to translate business problems into advanced analytical solutions, manage project portfolio, and drive data science strategy within USAA.
The role is responsible for the administration of Incentive Compensation Plans, including design, modeling, eligibility management, payment calculation, reporting, analysis, plan auditing, and governance control.
Responsibilities
Complete tasks involved in the administration of the Incentive Compensation Plans
Design and modeling, eligibility management and payment calculation, reporting and analysis, plan auditing, and governance control
Work closely with Lending Origination Officers, Deposit Relationship Managers, Business Development Officers and business unit managers to process incentive compensation payment requests
Review evidence and information regarding disputed eligibility and calculation errors
Lead Analyst in Health Economics & Performance Optimization, turning complex healthcare data into actionable insights to improve performance, operations, and patient care.
Responsibilities
Lead analytical initiatives supporting primary care and value-based care across Mercy
Develop solutions that drive measurable improvement
Take analytical solutions from concept through implementation
Serve as subject matter expert and trusted resource after launch
Requirements
Bachelor’s degree in computer science, mathematics, finance, economics, health management, or a related field
Master’s degree in a related field (preferred)
Nice to have: Health or medical economics experience
Nice to have: Experience within a clinical, patient care, healthcare technology, or payer environment
Lead the design, delivery, and evolution of modern web applications, APIs, and system integrations, using AI to accelerate development and deliver intelligent features.
Compensation
The target salary range for this position is $128,000.00 - $160,000.00 annually.
Responsibilities
Lead the technical design and delivery of full stack solutions, owning architecture decisions, standards, and best practices.
Mentor and coach developers, conduct code reviews, and foster a culture of quality, collaboration, and continuous improvement.
Plan and estimate work with product and project stakeholders, break down requirements, and ensure on-time, high-quality delivery.
Develop responsive front-end interfaces and robust back-end services using modern frameworks and languages.
Design, build, and document RESTful APIs with strong security, versioning, and error handling, and define API standards for the team.
Compensation range: The salary range for this position is: $189,370 - $361,950.
Responsibilities
Lead and develop a team of Data Scientists
Identify, scope, and manage complex analytical projects
Translate results to non-technical business executives
Champion delivery of business insights via scalable automated solutions
Ensure modeling and machine learning solutions adhere to industry standards and regulatory expectations
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