Product Manager, Senior Regulatory
Job Location:
Overland Park, KS - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At Quest Analytics we are helping health plans and regulators navigate some of healthcares most complex challenges from network adequacy and provider access to regulatory compliance and network performance.
Were 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.
Youll 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. Youll 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.
Were also building an AI-forward Product organization. We want someone who is curious about whats 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 strategy sales enablement and successful product adoption.
- Communicate product strategy decisions progress risks and results clearly to audiences ranging from technical teams to executive leadership.
- Mentor and support other Product Managers while contributing to the continued development of Quest Analytics Product organization.
- 7 years of Product Management experience within SaaS or equivalent relevant experience; healthcare technology experience strongly preferred.
- Bachelors degree required; MBA or advanced degree preferred.
- A proven track record of taking new products or significant capabilities from idea to market with clear ownership across discovery development launch and optimization.
- Strong expertise in product discovery and modern product delivery methodologies.
- Demonstrated experience leading complex cross-functional initiatives and driving alignment across Product Engineering commercial and customer-facing teams.
- Hands-on experience using AI/LLM tools to improve research product documentation workflow efficiency ideation prototyping or validation.
- Strong customer-discovery skills and the ability to uncover needs that customers may not initially articulate.
- Experience working with large complex datasets and using data to inform product decisions.
- Ability to develop compelling business cases and connect product investments to measurable customer and business outcomes.
- Proven ability to influence without authority and move teams from discussion to decision and execution.
- Excellent communication storytelling facilitation and executive presentation skills.
- Strong problem-solving skills with the ability to bring structure and clarity to complex or ambiguous challenges.
- A customer-first mindset high attention to detail and the ability to thrive in a fast-moving environment.
- Experience within health plans payer technology or healthcare SaaS.
- Experience developing products for regulators government agencies or highly regulated healthcare environments.
- Knowledge of network adequacy provider networks regulatory compliance provider data or healthcare analytics.
- Experience launching data-intensive or analytics-driven products.
- Experience using AI to materially accelerate the product development lifecyclenot simply for basic productivity.
This is an opportunity to join Quest Analytics at a point where our regulatory business is continuing to evolve and grow. Youll have the ability to shape what we build next work directly with the customers and teams closest to the problems were solving and influence how we approach Product Management as AI changes whats possible.
If youre energized by building new products solving complex healthcare problems challenging the status quo and finding smarter ways to move from idea to impact wed love to hear from you.
After you apply you will receive an email confirming receipt of your application. If your background and experience align with our needs a member of the Quest Analytics Talent Acquisition team will contact you regarding next steps in the process. Candidates will receive communication throughout the interview process regarding their status and progression.
Interview Process
The interview process may vary by role but typically includes:
- Recruiter Video Interview
- Video Interview with the Hiring Manager
- Team and/or Panel Interview(s)
- Role-Specific Assessment Presentation or Case Study (if applicable)
- Professional Reference Checks via Skill Survey
- Final Interview with Executive Leadership
Video Camera Usage Policy
Quest Analytics is a remote-first organization that values collaboration communication and engagement. To support a connected and productive work environment candidates are expected to participate in all virtual interviews with their cameras enabled.
Video participation helps create a more interactive interview experience allows for stronger communication and relationship-building and supports our commitment to maintaining a secure hiring process. Camera usage also serves as an important safeguard against fraudulent applicants identity misrepresentation unauthorized participation and other security risks that have become increasingly common in remote hiring environments.
Candidates who are unable or unwilling to participate on camera during the interview process may not be considered for employment.
Relocation Requirement
While many positions at Quest Analytics are remote employees are expected to reside in and perform work from the location disclosed during the hiring process. Any relocation must be communicated to and approved by Quest Analytics in advance.
This policy helps ensure compliance with employment and tax regulations protects company and client data and reduces risks associated with unauthorized work arrangements and employment misrepresentation.
We understand that some individuals have recently been impersonating recruiters from Quest Analytics and soliciting fake job opportunities. We urge you not to disclose any personal or financial information to them. We use only our official website () email domain (@) and verified social media accounts to communicate with candidates. If you suspect fraudulent behavior please report it to us atemailprotected. We appreciate your interest in working with us.
To learn more: may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
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