Product Manager, Senior - Regulatory

Build Products That Shape the Future of Healthcare Network Compliance 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. What You’ll Do Own Product Strategy & Build What’s Next • 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. Turn Complex Problems Into Great Products • 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. Help Build an AI-Forward Product Organization • 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. Lead Through Influence • 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. What You'll Need • 7+ years of Product Management experience within SaaS or equivalent relevant experience; healthcare technology experience strongly preferred. • Bachelor’s 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. Even Better If You Have • 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 lifecycle—not simply for basic productivity. Why This Role This is an opportunity to join Quest Analytics at a point where our regulatory business is continuing to evolve and grow. You’ll have the ability to shape what we build next, work directly with the customers and teams closest to the problems we’re solving, and influence how we approach Product Management as AI changes what’s possible. If you’re energized by building new products, solving complex healthcare problems, challenging the status quo, and finding smarter ways to move from idea to impact, we’d love to hear from you. About Quest Analytics For more than 20 years, we’ve been improving provider network management one groundbreaking innovation at a time. 90% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here. What You’ll Appreciate • Workplace flexibility – you choose between remote, hybrid or in-office • Affordable employee medical, dental and vision plans with low employee cost • 401k Matching • Wellness benefits • Competitive salary and success sharing bonus • Flexible vacation, plus sick time and holidays • An entrepreneurial culture that won’t limit you to a job description • Being listened to, valued, appreciated -- and having your contributions rewarded • Enjoying your work each day with a great group of people Apply TODAY! careers.questanalytics.com Next Steps 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. AI Tools As part of our hiring process, Quest Analytics may use AI-assisted tools to help screen applications and support interview documentation, including resume-matching software and AI-generated interview summaries. These tools inform but do not replace human judgment; all hiring decisions are made by Quest Analytics team members. If you have questions about our use of AI in hiring, please contact [email protected] . • Visa sponsorship is not available at this time. Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence [email protected] NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time. Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable RECRUITMENT FRAUD ALERT 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 ( https://questanalytics.com ), email domain (@questanalytics.com), and verified social media accounts to communicate with candidates. If you suspect fraudulent behavior, please report it to us at [email protected] . We appreciate your interest in working with us. To learn more: https://questanalytics.com/news/recruitment-fraud-alert/ We 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.