Product Manager - R01564936

Primary Skills

• Healthcare and Consulting experience is Mandatory and experience in Payer background

Specialization

• Product Management: Manager, Strategy & Consulting and AI

Job requirements

• Role Summary
  We are seeking an AI Product Manager with deep healthcare domain experience (preferably pharmacy services) to drive rapid experimentation and delivery of AI-enabled products.
  This role will work at the intersection of business, clinical workflows, operations, and technology to identify high-impact opportunities, design solutions, and rapidly test and scale AI-driven capabilities across pharmacy and patient service journeys.
  This is a hands-on, execution-oriented role focused on turning ideas into measurable outcomes quickly.
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  Key Responsibilities
  1. Identify & Prioritize High-Impact AI Use Cases
  •    Work with business, operations, and clinical stakeholders to identify opportunities across: 
  o    Benefits verification (BV) / Prior Authorization (PA) 
  o    Patient onboarding & education 
  o    Adherence & refill management 
  o    Call center / pharmacist workflows 
  •    Translate business pain points into clear problem statements and opportunity areas 
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  2. Drive Rapid Experimentation
  •    Convert ideas into testable hypotheses and experiments 
  •    Design MVPs and pilots using: 
  o    AI/LLM capabilities 
  o    Workflow automation 
  o    Data-driven decisioning 
  •    Run fast iteration cycles: 
  o    Prototype → test → learn → refine 
  •    Define success metrics and evaluate outcomes quickly 
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  3. Build & Deliver AI-Enabled Products
  •    Own end-to-end product lifecycle: 
  o    Problem definition → solution design → development → launch → iteration 
  •    Partner with Engineering, Data Science, and Design teams to: 
  o    Build scalable, production-ready solutions 
  o    Integrate AI into real workflows (not just standalone models) 
  •    Ensure usability for frontline users (pharmacists, agents, care teams) 
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  4. Bridge Business, Clinical, and Technology Teams
  •    Act as a translator between: 
  o    Business/operations (pharmacy, patient services) 
  o    Technology (engineering, AI/ML teams) 
  •    Ensure solutions are: 
  o    Operationally feasible 
  o    Clinically appropriate 
  o    Technically scalable 
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  5. Embed AI into Real Workflows
  •    Design solutions that: 
  o    Augment human decision-making (not replace blindly) 
  o    Incorporate human-in-the-loop controls 
  o    Fit seamlessly into existing systems (CRM, workflow tools, call center platforms) 
  •    Drive adoption across end users 
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  6. Measure Impact & Scale
  •    Track: 
  o    Operational efficiency (e.g., reduced handling time, faster approvals) 
  o    Experience metrics (patient, agent, pharmacist) 
  o    Business outcomes (conversion, adherence, cost reduction) 
  •    Scale successful pilots into broader deployment 
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  Required Qualifications
  •    6–10+ years in Product Management or Product Ownership 
  •    Strong healthcare domain experience, preferably in: 
  o    Pharmacy services (specialty pharmacy preferred) 
  o    Patient services / HUB services 
  o    Payer or PBM ecosystems 
  •    Proven experience working on data-driven or AI-enabled products 
  •    Demonstrated ability to drive rapid experimentation and MVP delivery 
  •    Strong ability to work across business, clinical, and technical teams 
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  Preferred Qualifications
  •    Experience with: 
  o    Prior Authorization (PA), Benefits Verification (BV), or patient onboarding workflows 
  o    Call center / omnichannel patient engagement platforms 
  •    Familiarity with: 
  o    LLMs / Generative AI applications 
  o    Workflow automation tools 
  o    Data platforms (e.g., modern data stack) 
  •    Experience in regulated environments (HIPAA, compliance constraints) 
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  Key Traits
  •    Highly execution-oriented (bias for action) 
  •    Strong problem framer (not just backlog manager) 
  •    Comfortable with ambiguity and iteration 
  •    Deep empathy for patients and frontline users 
  •    Data-driven decision maker 
  •    Able to balance speed vs co