Brillio

Product Manager - R01564936

Apply Now

Job Description

Product Manager


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.
    ________________________________________
    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 
    ________________________________________
    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 
    ________________________________________
    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) 
    ________________________________________
    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 
    ________________________________________
    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 
    ________________________________________
    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 
    ________________________________________
    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 
    ________________________________________
    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) 
    ________________________________________
    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