Elevance Health

Reporting and Analytics Director – Health Economics, Value-Based Enablement

Elevance Health

full-time

Posted on:

Location: New York, Virginia • 🇺🇸 United States

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Salary

💰 $150,816 - $226,224 per year

Job Level

Lead

Tech Stack

PythonSQL

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