Platform Product Manager - Healthcare SaaS (Remote)

Quest Analytics

Orangeburg (SC)

Hybrid

USD 120,000 - 150,000

Full time

5 days ago

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Benefits offered by this job

Workplace flexibility: remote, hybrid,

401k Matching

Wellness benefits

Competitive salary + bonus

Flexible vacation and holidays

Job summary

Quest Analytics is seeking a Platform Product Manager to own shared capabilities that power our product teams, aligning with health plan workflows and payer needs. You’ll coordinate with Engineering, Architecture, Data, Regulatory, Legal, Client Services, and Finance to deliver measurable outcomes and reusable platform components across markets.

The ideal candidate has 3+ years in SaaS product management, strong API and data-modeling fluency, and experience with cloud data platforms.

Qualifications

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 equivalent experience.
Strong PM fundamentals, 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, Databricks, Snowflake, or comparable).
Ability to follow and contribute to architecture discussions with engineers.
Proven system for tracking plans, risks, and dependencies across teams.
Experience on Agile, Scrum, Lean, or DevOps teams.
Experience partnering with Engineering and technical teams.
Strong communication and relationship-building across technical and non-technical audiences.
Hands-on familiarity with AI/LLM tools and interest in applying emerging tech.

Responsibilities

Set the vision, roadmap, and requirements for shared platform capabilities across their full lifecycle.
Become a SME on how health plans operate and translate into capabilities that fit payer workflows.
Prioritize platform work by weighing internal and client needs against company strategy.
Define API contracts, data models, and lifecycle policies behind shared capabilities.
Lead architecture and design discussions with engineers.
Maintain an integrated plan, risk log, and decision records; drive cross-team deliverables to completion.
Brief executives and stakeholders with updates and recommendations.
Meet contractual, regulatory, privacy, and security requirements including PHI and HIPAA.
Use AI and emerging technologies while maintaining data integrity and compliance.