Performance Enablement Lead – Part D Risk Adjustment

Humana
$117,600 - $161,700Remote

About The Position

The Business Intelligence Lead leads reporting, KPI measurement, and BI support for Part D risk adjustment programs. The role solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Lead works on problems of diverse scope and complexity ranging from moderate to substantial. The Business Intelligence Lead – Part D Risk Adjustment leads business intelligence, KPI reporting, and performance measurement for Part D risk adjustment programs. The role defines business rules, metric logic, and reporting requirements and translates business needs into repeatable reports, dashboards, and analytic datasets. The position partners with HTA/IT and enterprise data teams to support a modern reporting and analytic environment, scalable reporting solutions, and curated datasets.

Requirements

  • Bachelor’s degree and 8+ years of relevant experience in business intelligence or analytics
  • Experience working with Databricks or similar cloud analytic environments
  • Experience in business intelligence, analytics, or reporting using healthcare datasets
  • 3+ years’ leadership experience in business intelligence or analytics projects
  • Advanced SQL/data wrangling skills
  • Experience defining business logic, metric definitions, and curated reporting datasets in partnership with technical teams
  • Experience with Power BI for enterprise reporting
  • Proven ability to translate business requirements into recurring analytic datasets and reporting solutions
  • Ability to communicate complex data concepts to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Nice To Haves

  • Master’s degree and 4+ years of relevant experience
  • Advanced degree in a quantitative discipline (Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field)
  • Experience with Python/PySpark for analysis, automation, or data preparation
  • Familiarity with healthcare risk adjustment, medical and rx claims, membership, or provider analytics
  • Experience operationalizing automated data workflows and reporting data preparation
  • Knowledge of data governance and control practices
  • Expertise in data mining, and/or predictive modeling

Responsibilities

  • Lead business intelligence and reporting for Part D risk adjustment programs
  • Define KPI measurement logic, business rules, reporting requirements, and analytic specifications
  • Translate business needs into repeatable dashboards, reports, and analytic datasets
  • Partner with HTA/IT and data teams to support scalable reporting and analytic solutions and curated datasets
  • Serves as the team’s subject matter expert for data visualization and best practices
  • Support automation, recurring performance measurement, and broader team usage of BI outputs
  • Validate and ensure BI outputs are accurate, usable, and supported by appropriate controls

Benefits

  • medical, dental and vision benefits
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance
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