Description

Key Skills: Agile, Product Management, Revenue Cycle Management, Product Manager, Agentic AI, .NET, Ado

Roles and Responsibilities:

• Own product requirements end to end, from discovery and definition through delivery, feature acceptance and release review.
• Apply Healthcare Revenue Cycle Management knowledge to understand clinical, operational, payer and financial workflows.
• Translate business problems into product outcomes, features, epics, user stories, process flows and acceptance criteria.
• Maintain and prioritize the product backlog based on customer value, risk, dependencies and measurable outcomes.
• Partner with engineering, data, analytics, operations and implementation teams to assess feasibility, technical trade-offs and delivery risks.
• Lead product discussions during backlog refinement, sprint planning, reviews and retrospectives, including clarification for offshore development teams.
• Use data analysis, success metrics and post-release measurement to guide roadmap and prioritization decisions.
• Use AI-assisted tools and rapid prototyping techniques to explore solutions, validate requirements and accelerate product discovery.

Skills Required:

• 7 - 12 years of experience in Product Management or Product Ownership, with healthcare or insurance domain exposure.
• Strong experience in Agile product delivery and product ownership across the full product lifecycle.
• Demonstrated Healthcare Revenue Cycle Management domain exposure, including relevant workflows, terminology and payer-related processes.
• Ability to translate complex business needs into structured product requirements, epics, user stories and acceptance criteria.
• Working understanding of enterprise technology, system architecture, data flows, scalability, security and reporting considerations.
• Strong analytical, documentation, presentation and stakeholder communication skills.

Good to Have:

• Experience with Azure DevOps (ADO), .NET environments or enterprise technology platforms.
• Practical experience using agentic AI or AI-assisted tools for product discovery, analysis, documentation or prototyping.

Education: B.Tech or B.Tech M.Tech (Dual) degree in any engineering branch

Key Skills

Education

Any Graduate