Consultant, Product Manager

Cardinal Health's Biopharma Solutions business delivers technology, analytics, and clinical solutions for community specialty practices, GPOs, biopharma manufacturers, and healthcare providers. The Consultant, Product Manager will lead the evolution of the Advanced Practice Analytics financial intelligence and reimbursement analytics platform, applying AI, predictive modeling, and automation to optimize specialty practice profitability. The role also owns product strategy, roadmap execution, data integration, agile product development, and customer collaboration.

Responsibilities:

• Lead Product Strategy & Roadmap: Drive the vision and execution for an AI-first financial intelligence and reimbursement analytics platform. Utilize predictive modeling, machine learning, and automation to turn complex datasets into actionable tools that optimize practice profitability
• Optimize Practice Economics & Revenue Cycle Management (RCM): Define features for predictive margin tracking, revenue leakage prevention, buy-and-bill margin analysis, and quarterly Average Sales Price (ASP) or reimbursement scenario modeling
• Drive Platform & Dataset Synergies: Collaborate across product lines to bridge clinical and financial data. Connect APA insights with GPO contract performance, rebate tracking, specialty distribution, and patient hub services to deliver an integrated, best-in-class commercial business suite
• Execute with Product Excellence: Own the end-to-end product development lifecycle. Translate user needs into robust roadmaps, write high-quality user stories, and maintain a highly prioritized agile backlog that balances value, effort, and technical sustainability
• Amplify the Voice of the Customer (VOC): Partner with community clinics, practice executives, and clinical/billing staff to understand their daily "jobs to be done." Regularly collaborate with Customer Advisory Boards (CABs) to validate prototypes and ensure rapid product-market fit

Requirements:

• 4-8 years of software product management experience
• Strong understanding of specialty practice economics, including "Buy and Bill" mechanics, Average Sales Price (ASP) impact, and therapeutic formulary dynamics
• Expert knowledge of Agile/Scrum methodologies, continuous product discovery, rapid prototyping, and user experience research
• Exceptional interpersonal and communication skills, with the ability to confidently align engineering, sales, marketing, and practice executives around a shared product vision
• a proven track record of shipping data-heavy commercial enterprise analytics, financial technology, or B2B SaaS products
• Bachelor's degree in Computer Science, Business, Healthcare Administration, or equivalent practical experience
• Direct experience working with complex clinical, transactional, or contract datasets—such as medical claims and remittance data (e.g., 837/835), GPO contract structures, and clinical-financial data reconciliation
• Experience partnering with data scientists or AI engineers to build recommendation engines, natural language processing (NLP) pipelines, or agentic/multi-agent AI workflows
• Specialty therapeutic area exposure (e.g., oncology, urology, rheumatology, or gastroenterology)