Product Manager, Senior - Regulatory

At Quest Analytics
, we are helping health plans and regulators navigate some of healthcare’s most complex challenges, from network adequacy and provider access to regulatory compliance and network performance.

We’re looking for a Senior Product Manager – Regulatory who wants to do more than manage an existing roadmap. This is an opportunity to identify unmet market needs, build new solutions, and help shape the future of our regulatory product portfolio
.

You’ll own product strategy from discovery through launch and optimization, working directly with regulator customers and users to understand their challenges and translate them into scalable SaaS solutions. You’ll partner closely with Engineering, Client Success, Sales, Product Marketing, Analytics, and other Product leaders to turn ideas into products that deliver measurable customer and business value.

We’re also building an AI-forward Product organization
. We want someone who is curious about what’s next and actively uses AI and emerging technology to rethink how products are researched, designed, built, tested, and brought to market.

• Own the vision, strategy, roadmap, and execution for products and capabilities within Quest Analytics’ regulatory portfolio.
• Identify opportunities to expand within the health plan regulatory market through customer discovery, market research, user feedback, and exploration of underserved needs.
• Take new products and capabilities from discovery and business case through development, launch, adoption, and optimization
  .
• Develop and defend business cases for new product investments, clearly articulating the customer problem, market opportunity, expected value, and measures of success.
• Develop a deep understanding of regulator customers, users, workflows, and evolving market needs.
• Define and monitor success measures tied to customer value, product adoption, revenue growth, and satisfaction.

• Translate complex healthcare, regulatory, customer, and business needs into clear product and operating requirements.
• Prioritize the product backlog based on strategic value, customer impact, business opportunity, and technical feasibility.
• Partner closely with Engineering throughout discovery and delivery to make thoughtful tradeoffs and build solutions that are scalable and performant.
• Use customer insights, product data, market intelligence, and large complex datasets to guide product decisions.
• Navigate ambiguity, competing priorities, and complex stakeholder needs while maintaining momentum toward key commitments.

• Champion AI-enabled product development practices that allow teams to learn, build, and deliver faster.
• Use AI/LLM tools such as Claude, ChatGPT, Gemini, and emerging technologies for research, insight generation, ideation, requirements development, prototyping, validation, backlog refinement, and documentation.
• Identify opportunities to automate or accelerate research, testing, reporting, and other product workflows.
• Experiment with new ways AI can improve the product lifecycle while applying sound judgment and maintaining appropriate data integrity, security, and compliance standards.
• Share learnings and help the broader Product organization continue developing its AI capabilities.

• Serve as a key Product partner to Engineering, Client Success, Sales, Product Marketing, Analytics, and other stakeholders
  .
• Build alignment across teams with different priorities and perspectives, influencing decisions without relying on direct authority.
• Partner with go-to-market teams on positioning, launch…