Senior AI Product Manager - R01565065

United States·Jersey CityRemoteEmployeesenior

Product ManagementAi Product Manager

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Product ManagementAi Product Manager

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Senior AI Product Manager with Healthcare Payer/PBM background and Consulting strategy domain experience

Senior AI Product Manager

Healthcare (Payer/PBM background)

Consulting strategy domain experience

AI Product Management

Role: AI Product Manager – Pharmacy (Experimentation & AI Products)
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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

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