Opportunity

Platform PM Role at Quest Analytics - Healthcare Tech in Columbus

Location Columbus
Company Quest Analytics
Source jobicy
Posted 2026-11-09 16:29:13

Career & Market Insight

Career Growth in a Niche, High-Impact Domain: Quest Analytics serves 90% of US health plans, making this a rare opportunity to build deep expertise at the intersection of platform product management and healthcare data. Platform PM roles are among the most technically demanding in the PM career ladder, and experience owning shared infrastructure capabilities (APIs, data models, lifecycle governance) is highly transferable to Principal PM or Director of Product roles.

Compensation Context: No salary range is disclosed, which is a mild red flag for transparency. Market data suggests Platform PMs with 3+ years SaaS experience in healthcare tech typically earn $130,000–$175,000 annually in the US, depending on location and company stage. Quest Analytics' 20+ year tenure and market dominance suggest a stable, mid-to-late stage company — likely offering competitive but not hyper-growth startup-level equity.

Skills This Role Develops:

  • Cloud data platform fluency (Azure, Databricks, Snowflake) — high market demand.
  • API design and governance — foundational for platform/infrastructure PM careers.
  • Healthcare regulatory compliance (HIPAA, PHI) — a specialized, well-compensated skill set.
  • AI/LLM tool integration into product workflows — increasingly critical.

Green Flags: Remote-first culture, entrepreneurial environment, cross-functional leadership scope, and clear ownership of full product lifecycle. Yellow Flags: No salary transparency, no equity mention, and the relocation approval requirement limits long-term geographic flexibility. The multi-stage interview process (up to 6 rounds) signals a thorough but potentially lengthy hiring timeline.

At Quest Analytics®, we build technology that helps health plans navigate some of the most complex challenges in healthcare. We're searching for a Platform Product Manager to own the shared capabilities our product teams build on.

You'll own the "what and why" for those capabilities, then bring Engineering, Architecture, Data, Regulatory, Legal, Client Services, and Finance together to deliver measurable results. What you build carries into the next product and the next market we enter, allowing us to deliver more efficiently.

The person we're searching for is curious and self-directed, and thinks in terms of the client journey. You'll own a capability from the first problem through adoption, learning how health plans work so what we build fits into payer workflows and changes how clients use Quest Analytics®. Healthcare experience is preferred, and we welcome candidates from other domains who bring strong communication, sharp curiosity, and a record of picking up a new industry quickly. You'll talk comfortably with engineers, lead with a recommendation, bring a bias for action, and own results and misses alike.

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.

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.

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.

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. Candidates are expected to participate in all virtual interviews with their cameras enabled. Camera usage supports a connected interview experience and serves as a safeguard against fraudulent applicants and identity misrepresentation. 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.

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.

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.

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 discrimination 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/

Frequently Asked Questions

Is this Platform Product Manager role fully remote?
Yes, Quest Analytics is a remote-first organization and offers flexibility to work remotely, hybrid, or in-office. However, employees must reside in and work from a disclosed US location, and any relocation requires prior company approval.
Which US states are preferred for this role?
Quest Analytics lists 42 preferred states, including Alabama, Arizona, Colorado, Florida, Georgia, Texas, Virginia, and many others. Notably, California and Washington are not on the preferred list.
Is visa sponsorship available for this position?
No, visa sponsorship is not available at this time. Applicants must be legally authorized to work in the United States.
What is the interview process like at Quest Analytics?
The process typically includes up to six stages: a recruiter video interview, hiring manager interview, team/panel interviews, a role-specific assessment or case study, reference checks, and a final executive interview. All interviews require camera-on participation.
What technical background is required for this Platform PM role?
Candidates need 3+ years of SaaS Product Management experience, working knowledge of APIs and data modeling, and familiarity with cloud data platforms such as Azure Data Factory, Databricks, or Snowflake. Healthcare experience is preferred but not required.
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