AI-First Health Analytics Product Manager

Cardinal Health

Helena (MT)

On-site

USD 96,000 - 138,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental and vision coverage
Paid time off
401k savings plan
Health savings account

Job summary

Cardinal Health seeks a Product Manager for Advanced Practice Analytics (APA) to lead an AI-first financial intelligence and reimbursement analytics platform. You will steer the roadmap, collaborate with clinical and financial teams, and translate user needs into scalable product features that improve profitability for specialty practices.

In this role, you will model revenue, reduce leakage, and optimize formulary dynamics while partnering with data science to deliver advanced analytics tools

Qualifications

  • 4-8 years of software product management experience.
  • Specialty healthcare economics knowledge (Buy and Bill, ASP impact).
  • Agile/Scrum expertise and user research proficiency.
  • Excellent communication skills aligned with cross-functional teams.

Responsibilities

  • Lead Product Strategy & Roadmap for AI-first analytics platform.
  • Define features for predictive margin tracking and revenue cycle modeling.
  • Bridge clinical and financial data across lines for integrated workflows.
  • Own end-to-end product development lifecycle and backlog prioritization.
  • Engage with CABs and customers to validate prototypes and ensure fit.

Skills

Agile leadership
Product management
Healthcare data fluency
AI/ML literacy
Communication & influence
Education: CS/Business/Healthcare

Education

Bachelor’s degree in Computer Science, Business, Healthcare Admin

Job description

Cardinal Health seeks a Product Manager for Advanced Practice Analytics (APA) to lead an AI-first financial intelligence and reimbursement analytics platform. You will steer the roadmap, collaborate with clinical and financial teams, and translate user needs into scalable product features that improve profitability for specialty practices.

In this role, you will model revenue, reduce leakage, and optimize formulary dynamics while partnering with data science to deliver advanced analytics tools

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