Blue Cross and Blue Shield of Minnesota is seeking a Director of Risk Adjustment Analytics to lead a team focused on improving healthcare analytics and risk management. The ideal candidate will possess extensive experience in statistical analysis, management, and healthcare, and will play a critical role in shaping the organization’s risk adjustment strategies
Job Summary
The Director of Risk Adjustment Analytics leads a team that delivers insights and results in support of the Risk Adjustment program, enabling improved accuracy in understanding the illness burden of our membership.
Responsibilities include risk score computation, diagnostic coding gap identification, operational metric tracking, financial impact calculation, and developing dashboards to monitor initiatives.
The role requires strong leadership, strategic thinking, and the ability to communicate complex concepts to senior leadership in a rapidly evolving healthcare marketplace.
Matching Summary
Match Score: 85
Blue Cross and Blue Shield of Minnesota is seeking a Director of Risk Adjustment Analytics to lead a team focused on improving healthcare analytics and risk management. The ideal candidate will possess extensive experience in statistical analysis, management, and healthcare, and will play a critical role in shaping the organization’s risk adjustment strategies.
Salary
$135,500.00 - $182,900.00 - $230,300.00 Annual; Not specified; Medical, dental, and vision insurance, Life insurance, 401k, Paid Time Off (PTO), Volunteer Paid Time Off (VPTO), And more
Skills & Requirements
Must-have
risk score computation and forecasting
diagnostic coding gap identification
operational metric tracking
financial impact calculation
risk adjustment initiatives performance tracking
dashboard design and development
provider performance metrics reporting
audit support for RADV and OIG
Nice-to-have
strategic partnerships
influencing across matrixed organizations
navigating ambiguity
high level of intellectual curiosity
openness to change
Key Requirements
7+ years related professional experience
3+ years management experience
Proficient with statistical software suites (e.g. SAS, cloud-based platforms)