Director, Risk Adjustment Analytics & Insights

Hispanic Alliance for Career Enhancement

Massachusetts

Hybrid

USD 100,000 - 232,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision coverage
Retirement savings options
Paid time off

Job summary

CVS Health in Massachusetts seeks a Lead Director, Informatics to drive enterprise risk adjustment analytics and BI solutions. You will transform clinical, operational, and risk data into actionable insights for executive decision-making, leading a team and partnering with Market leads, Finance, Clinical, and IT.

This customer-facing role requires technical guidance on BI input modeling and calculations, with a focus on AI, automation, and data storytelling to advance reporting strategy.

Qualifications

  • 10+ years of healthcare analytics or BI experience.
  • 2+ years of leadership in analytics or BI.
  • Strong executive communication and stakeholder management.
  • Proficiency in SQL, Python and BI platforms (Power BI, Tableau, QuickSight).
  • Ability to lead complex analytics portfolios and prioritize work.

Responsibilities

  • Lead risk adjustment performance reporting with dashboards and insights.
  • Develop provider analytics and drive performance improvement initiatives.
  • Advance AI, automation, and modern BI capabilities across analytics platforms.
  • Build and mentor a high-performing analytics team and collaborate with executives.

Skills

SQL
Python
Power BI
Tableau
QuickSight
Executive communication
Strategic thinking
Stakeholder management
Team development
Leadership

Education

Bachelor's degree
Master's degree

Tools

Power BI
Tableau
QuickSight

Job description

CVS Health in Massachusetts seeks a Lead Director, Informatics to drive enterprise risk adjustment analytics and BI solutions. You will transform clinical, operational, and risk data into actionable insights for executive decision-making, leading a team and partnering with Market leads, Finance, Clinical, and IT.

This customer-facing role requires technical guidance on BI input modeling and calculations, with a focus on AI, automation, and data storytelling to advance reporting strategy.

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