Salary
💰 $150,816 - $226,224 per year
About the role
- Lead a team of analysts and data professionals in developing attribution methodologies and reporting systems that support new and existing value-based care initiatives
- Translate complex business requirements into technical specifications for reporting and analytics development
- Partner with key stakeholders to define, validate, and test analytics and attribution enhancements, ensuring outputs are accurate, comprehensive, and aligned with strategic goals
- Provide thought leadership and direction to ensure all deliverables support business performance, compliance, and operational readiness
- Oversee day-to-day analytics operations, ensuring that data deliverables are produced with a high degree of accuracy, reliability, and responsiveness
- Establish and maintain clear documentation, testing protocols, and sign-off procedures to support successful program launches and ongoing refinement
- Collaborate cross-functionally with business, clinical, actuarial, and technology teams to ensure data alignment and a shared understanding of program objectives and metrics
- Report project progress, performance risks, and results to senior management with clarity and confidence
- Contribute to budgeting, planning, and team resource allocation to ensure scalability and sustainability
- Lead testing efforts to ensure flawless implementation of attribution frameworks and analytics solutions
Requirements
- BA/BS degree
- Minimum of 10 years of experience leading project teams, or any combination of education and experience
- In-depth, hands-on experience with attribution engines; knowledge of PIMS and the Elevance Health platform strongly preferred
- Master's degree in Data Science, Compute Science, Health Informatics, or a related discipline strongly preferred
- Demonstrated experience supporting value-based program attribution models, including design, execution, and ongoing refinement
- Proven ability to bridge the gap between technical teams and business stakeholders
- Track record of leading testing strategies and validation processes to ensure end-to-end accuracy and business alignment
- Strong programming skills in SQL, SAS, and Python
- Exceptional communication and facilitation skills
- Ability to present complex data clearly to non-technical audiences
- Analytical mindset with a demonstrated ability to evaluate the implications of data changes across a complex portfolio of programs
- Required to be in-office 3 days per week; candidates not within a reasonable commuting distance from the posting location will not be considered unless accommodation is granted as required by law