Platform Product Manager - Healthcare SaaS

What You'll Do: • Set the vision, roadmap, and requirements for shared platform capabilities across their full lifecycle, from the first problem through adoption, building for reuse across products and new markets.

• Become a SME on how health plans operate and translate that into capabilities that fit payer workflows.

• Prioritize platform work by weighing the needs of internal product teams, clients, and company strategy.

• Define the API contracts, data models, and lifecycle policies behind shared capabilities.

• Lead architecture and design discussions with engineers.

• Keep an integrated plan, risk log, and decision record, and drive cross-team deliverables to completion with Engineering, Architecture, Data, Regulatory, Legal, Client Services, and Finance.

• Brief executives and stakeholders across the business with consistent updates and recommendations.

• Meet contractual, regulatory, privacy, and security requirements, including protecting Protected Health Information (PHI) under the Health Insurance Portability and Accountability Act (HIPAA).

• Use AI and other emerging technologies in your daily work to move faster and innovate, while keeping sound judgment, data integrity, and compliance standards.

What You'll Need: • 3+ years of Product Management experience in a SaaS environment, with strong experience taking product capabilities through development and into market.

• Bachelor's or Master's degree in a related field, or an equivalent combination of education and relevant professional experience.

• Strong Product Management fundamentals, including discovery, prioritization, requirements development, Agile delivery, and stakeholder management.

• Working knowledge of APIs, data modeling, governance, metadata, and data quality

• Experience with cloud data platforms (Azure Data Factory, Synapse, Fabric, Databricks, Snowflake, or comparable)

• Ability to follow and contribute to architecture discussions with engineers

• A proven system for tracking plans, risks, and dependencies across teams

• Experience on Agile, Scrum, Lean, or DevOps teams

• Experience partnering closely with Engineering and technical teams.

• Strong communication and relationship-building skills across technical and nontechnical audiences.

• Hands-on familiarity with AI/LLM tools and an interest in continually finding better ways to apply emerging technology.

Nice to have

• Healthcare experience, ideally with provider, member, claims, or network data

• Familiarity with network adequacy or provider data standards

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 recruiting@questanalytics.com.     **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 hr@questanalytics.com   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 infosec@questanalytics.com. We appreciate your interest in working with us. To learn more:  https://questanalytics.com/news/recruitment-fraud-alert/