Senior AI Product Manager
Argyll Infotech, Inc.
Position- Senior AI Product Manager
Location- EST time zone, Remote/Hybrid in NY
Client- Cigna (Keep confidential) Experience- minimum 12+ years required with major experience into healthcare and consulting Consulting Companies to search- Deloitte, EY, Epam, Accenture, KPMG, McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, (PwC), Oliver Wyman, Milliman, IQVIA Short JD Highlights-
Detailed JD- Role Summary
We are seeking an AI Product Manager with deep healthcare domain experience to drive rapid experimentation and delivery of AI-enabled products .
This role will work at the intersection of business, 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
Location- EST time zone, Remote/Hybrid in NY
Client- Cigna (Keep confidential) Experience- minimum 12+ years required with major experience into healthcare and consulting Consulting Companies to search- Deloitte, EY, Epam, Accenture, KPMG, McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, (PwC), Oliver Wyman, Milliman, IQVIA Short JD Highlights-
- Healthcare - Preferably Payer/PBM not clinical/pharma (possibly acceptable to have highly regulated experience industry experience if the AI Product side is very strong)
- AI Product Mgt - Has demonstrated experience of having built AI Products and taken from Ideation to Production
- Stakeholder and Business Engagement
- Execution in Agile/FDE environment.
Detailed JD- Role Summary
We are seeking an AI Product Manager with deep healthcare domain experience to drive rapid experimentation and delivery of AI-enabled products .
This role will work at the intersection of business, 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:
- Benefits verification (BV) / Prior Authorization (PA)
- Patient onboarding & education
- Adherence & refill management
- Call center / pharmacist workflows
- Translate business pain points into clear problem statements and opportunity areas
- Convert ideas into testable hypotheses and experiments
- Design MVPs and pilots using:
- AI/LLM capabilities
- Workflow automation
- Data-driven decisioning
- Run fast iteration cycles :
- Prototype → test → learn → refine
- Define success metrics and evaluate outcomes quickly
- Own end-to-end product lifecycle:
- Problem definition → solution design → development → launch → iteration
- Partner with Engineering, Data Science, and Design teams to:
- Build scalable, production-ready solutions
- Integrate AI into real workflows (not just standalone models)
- Ensure usability for frontline users (pharmacists, agents, care teams)
- Act as a translator between:
- Business/operations (patient services)
- Technology (engineering, AI/ML teams)
- Ensure solutions are:
- Operationally feasible
- Clinically appropriate
- Technically scalable
- Design solutions that:
- Augment human decision-making (not replace blindly)
- Incorporate human-in-the-loop controls
- Fit seamlessly into existing systems (CRM, workflow tools, call center platforms)
- Drive adoption across end users
- Track:
- Operational efficiency (e.g., reduced handling time, faster approvals)
- Experience metrics (patient, agent, pharmacist)
- Business outcomes (conversion, adherence, cost reduction)
- Scale successful pilots into broader deployment
- 6-10+ years in Product Management or Product Ownership
- Strong healthcare domain experience , preferably in:
- Patient services / HUB services
- 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 clinical, and technical teams
- Experience with:
- Prior Authorization (PA), Benefits Verification (BV), or patient onboarding workflows
- Call center / omnichannel patient engagement platforms
- Familiarity with:
- LLMs / Generative AI applications
- Workflow automation tools
- Data platforms (e.g., modern data stack)
- Experience in regulated environments (HIPAA, compliance constraints)
- 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 compliance vs scale
- Delivered 2-3 AI-driven pilots with measurable business impact
- Established repeatable experimentation approach within the team
- Demonstrated improvements in:
- Cycle time for new features/use cases
- Operational efficiency (e.g., reduced manual effort)
- User adoption (agents/pharmacists/patients)
- Built strong alignment across business and tech stakeholders
Vacancy posted 5 days ago
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