Product Manager – RCM; Pharmacy

Position: Product Manager – RCM (Pharmacy)
Product Manager, Applied AI Revenue Solutions Skip to main content#Product Manager, Applied AI Revenue Solutions page is loaded## Product Manager, Applied AI Revenue Solutions Apply locations:
Headquarters, Winston Salem, NC:
6125 - New York, NY:
6116 - Chicago, IL:
9110 - Boston, MA (Cambridge) time type:
Full time posted on:
Posted 30+ Days Agojob requisition :
JY2626989

The Product Manager, Applied AI Revenue Solutions owns strategy, roadmap, and lifecycle execution for AI-enabled workflow transformation within Inmar’s healthcare revenue solutions platforms.
This role focuses first on driving agentic workflow automation within Revenue Cycle Management (RCM), establishing measurable operational and financial impact. Successful automation patterns may expand to additional areas of the healthcare platform over time.
Working cross-functionally with Engineering, Operations, UX, Compliance, and, where appropriate, Data Science, this role translates advanced AI and automation capabilities including large language models (LLMs), retrieval systems, orchestration frameworks, structured decision logic, and automation tooling into scalable, governed, production-ready solutions.
The Product Manager is accountable for ensuring intelligent automation is applied responsibly, efficiently, and at scale to solve real operational challenges while shaping long-term platform direction.##
**** Primary Accountabilities
******** Own Product Strategy & Roadmap
***** Define product vision and multi-quarter roadmap for AI-driven workflow transformation within RCM.
* Establish OKRs and measurable outcomes tied to automation rate improvements, net revenue impact, accuracy thresholds, operational efficiency, and scalability.
* Define baseline metrics and target thresholds prior to deployment.
* Evaluate and prioritize initiatives based on feasibility, ROI, risk, economics, and strategic alignment.
* Make informed tradeoff decisions in partnership with Engineering and leadership.
**** Own Product Lifecycle & Execution Discipline
***** Translate strategic priorities into actionable roadmap milestones and a clearly prioritized backlog.
* Drive detailed planning and execution alignment with Engineering, including dependency coordination and release sequencing.
* Define scope boundaries, acceptance criteria, and launch readiness standards.
* Identify execution risks and technical dependencies early and drive mitigation strategies.
* Lead initiatives from concept through launch and post-release optimization.
* Monitor post-launch performance and refine roadmap priorities based on measurable outcomes and evolving business needs.
**** Drive Discovery & Workflow Redesign
***** Conduct structured discovery within operational workflows to identify redesign and automation opportunities.
* Validate solution hypotheses with both external customers and internal users.
* Translate complex operational and regulatory challenges into structured requirements and measurable success criteria.
* Use experimentation and data insights to guide sequencing and scaling decisions.
**** Deliver Agentic Workflow Automation
***** Define and deliver multi-step AI-enabled workflows designed for automation with appropriate human oversight.
* Leverage LLMs, retrieval (RAG), orchestration frameworks, APIs, and structured decision systems to support autonomous task execution.
* Translate ambiguous problems into clear agent tasks, system integrations, and production-ready implementations.
* Ensure automation moves from experimentation to reliable, observable, and scalable deployment.
* Manage AI economics, including performance-to-cost tradeoffs, to ensure sustainable deployment at scale.
**** Collaborate with Engineering & Technical Teams
***** Partner closely with Engineering to…