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Product Manager, Population Health Quality

Job in West Conshohocken, Montgomery County, Pennsylvania, USA
Listing for: Tandigm Health
Full Time position
Listed on 2026-07-01
Job specializations:
  • Business
    Business Systems & Technology Analysis, Business Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 115000 USD Yearly USD 85000.00 115000.00 YEAR
Job Description & How to Apply Below
Location: West Conshohocken

Product Manager, Population Health Quality (hybrid)

Tandigm Health, a transformational leader in population health management, is looking for a Product Manager, Population Health Quality in the greater Philadelphia area. We offer a competitive compensation and benefits package and are proud to share a culture where every person feels valued and empowered.

Primary Duties and Responsibilities

Our strategic and collaborative Product Manager will help to advance our population health management services, with a primary focus on the Quality product. Reporting to the VP, Product Management & Analytics, this role will drive capabilities related to HEDIS, eCQMs, Medicare Advantage Stars, and MSSP Quality programs, helping deliver measurable value for both payors and providers.

In this role, you will partner with business, analytics, finance, and IT teams to translate strategy into clear product requirements, enhance workflows, and support scalable, data-driven solutions. The ideal candidate brings experience with value-based care quality measures, healthcare data and IT processes, strong organizational and documentation skills, and a passion for solving problems that improve care outcomes.

Data Product Strategy and Roadmap
  • Develop a strong understanding of payor and provider needs, value-based care requirements, and workflow dependencies across operational areas.
  • Translate strategic goals defined by Business Owner into actionable roadmap items and execution plans for data products, services, and operational workflows.
  • Define, prioritize, and refine the product backlog
  • Support identification of opportunities to enhance capabilities by assessing market trends, user feedback, regulatory changes, and emerging needs.
Data Product, Service, and Workflow Execution
  • Partner with Data Services Engineering teams to translate requirements into clear specifications, acceptance criteria, and validation needs.
  • Ensure that workflows supporting value‑based care models are clearly defined, documented, and optimized.
  • Own and drive the lifecycle of data‑driven service changes, including requirements, workflow design, validation, operational readiness, and deployment planning.
  • Partner with analytics, operations, and engineering teams to ensure data quality, accuracy, timeliness, and scalability.
  • Provide clear visibility into progress through roadmaps, timelines, and readiness communication.
  • Validate solutions with users and stakeholders and incorporate feedback for iterative improvement.
Cross‑Functional Collaboration
  • Collaborate closely with Finance, Analytics and Actuarial to ensure accurate modeling, analytics needs, and reporting requirements are incorporated into data product decisions.
  • Partner with the Quality and Patient Experience Team to ensure workflow adoption and understand customer needs.
  • Maintain strong working relationships with IT, Data Governance, and Security to ensure compliance, data quality, and reliable performance.
  • Manage relationships with third‑party vendors to evaluate capabilities, manage integrations, maintain performance.
  • Facilitate effective communication across all partner teams to ensure alignment, clarity, and shared ownership of outcomes.
  • Work closely with the Network Enablement team to support operational communication and ensure adoption of new data products and services.
  • Gather customer insights and feedback through various channels and incorporate them into product planning and decision‑making.
Data Product Performance and Optimization
  • Define and track key data product metrics (usage, adoption, workflow efficiency, data accuracy, and business impact).
  • Evaluate product performance regularly and recommend improvements to optimize value and scalability.
  • Leverage data‑driven insights to guide prioritization, inform roadmap choices, and identify opportunities for innovation.
  • Monitor changes in the market and industry and recommend enhancements that strengthen differentiation and user experience.
People Leadership
  • May provide development, mentorship, and guidance to analysts or junior team members and contributes to knowledge sharing.
  • Allocate resources effectively and ensure alignment with product priorities.
  • Support…
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