Senior Product Manager, Regulatory

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Listing location: Overland Park, KS; Workplace type: RemoteFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 7+ years of Product Management experience within SaaS or equivalent relevant experience
Required Skills: Data AnalysisCross-functional Team LeadershipSaaS

Have 7+ years of Product Management experience within SaaS or equivalent relevant experience.
Hold a bachelor’s degree; an MBA or advanced degree is preferred.
Have a proven track record of taking new products or significant capabilities from idea to market.
Bring ownership across product discovery, development, launch, and optimization.
Have expertise in product discovery and modern product delivery methodologies.
Have experience leading complex cross-functional initiatives and aligning Product, Engineering, commercial, and customer-facing teams.
Have hands-on experience using AI/LLM tools to improve research, documentation, workflow efficiency, ideation, prototyping, or validation.
Demonstrate strong customer-discovery skills and the ability to uncover unstated customer needs.
Have experience working with large, complex datasets and using data to inform product decisions.
Be able to develop business cases and connect product investments to measurable customer and business outcomes.
Be able to influence without authority and move teams from discussion to decision and execution.
Healthcare technology experience is strongly preferred.

Own the vision, strategy, roadmap, and execution for products and capabilities within the regulatory portfolio.
Identify opportunities in the health plan regulatory market through customer discovery, market research, user feedback, and exploration of unmet needs.
Take new products and capabilities from discovery and business case through development, launch, adoption, and optimization.
Develop business cases for product investments, including the customer problem, market opportunity, expected value, and measures of success.
Translate healthcare, regulatory, customer, and business needs into product and operating requirements.
Prioritize the product backlog based on strategic value, customer impact, business opportunity, and technical feasibility.
Partner with Engineering throughout discovery and delivery to make tradeoffs and build scalable, performant solutions.
Use customer insights, product data, market intelligence, and complex datasets to guide product decisions.
Use AI/LLM tools to support research, ideation, requirements, prototyping, validation, backlog refinement, and documentation.
Align stakeholders and partner with go-to-market teams on positioning, launch strategy, sales enablement, and product adoption.

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