Product Manager, Senior - Regulatory

• Own the

for products and capabilities within Quest Analytics' regulatory portfolio.

• Identify opportunities to expand within the

through customer discovery, market research, user feedback, and exploration of underserved needs.

• Take new products and capabilities from

.

• 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

that allow teams to learn, build, and deliver faster.

• Use AI/LLM tools such as

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

.

• 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.

within SaaS or equivalent relevant experience; healthcare technology experience strongly preferred.

• Bachelor's degree required; MBA or advanced degree preferred.

• Experience within

.

• A

, 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

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 developing products for

.

• Knowledge of

.

• Experience launching data-intensive or analytics-driven products.

• Experience using AI to materially accelerate the product development lifecycle - not simply for basic productivity.

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