# Principal Product Manager, Payer & Outcomes Data

**Company:** [Headway](https://hotfix.jobs/companies/headway)
**Location:** Remote
**Role:** Product Management
**Salary:** $300k – $375k/yr
**Skills:** SQL, Statistical Methods, Data Infrastructure, Patient Segmentation, Risk Stratification, Claims Data, Cost Modeling, Data Engineering, Data Science, Product Strategy
**Posted:** 2026-09-09

> Own the foundational data products that segment patients, measure cost of care, and translate outcomes into auditable payer-facing products. The role requires deep technical fluency, complex data infrastructure product ownership, and cross-functional leadership across engineering, clinical, and commercial teams.

## Job Description

## Responsibilities
- Own patient segmentation and stratification infrastructure that classifies patients by clinical profile, behavioral signals, and drivers of clinical outcomes.
- Build the cost-of-care measurement layer, integrating internal and external cost data and providing auditable patient- and segment-level cost bases and market comparisons.
- Develop payer-facing reporting and data interfaces that translate internal infrastructure into payer-legible population summaries.
- Define the outcomes team's data strategy, including build-versus-buy decisions, prioritization, architectural vision, and cross-functional execution.
- Partner with data engineering, data science, clinical strategy, and commercial stakeholders.

## Requirements
- Experience owning complex data infrastructure products end-to-end, beyond analytics or reporting.
- Strong technical proficiency, including complex SQL and engagement with statistical methods.
- Ability to work as a near-peer to data scientists and make cost or outcome claims withstand payer, regulatory, or audit scrutiny.
- Experience setting product strategy in ambiguous domains and making build, buy, or defer decisions.
- Proven ability to align engineering, clinical, and commercial stakeholders without direct reporting authority.

## Nice-to-haves
- Experience with claims data, episode cost modeling, or risk stratification.
- Background transitioning from data science or analytics engineering into product management.

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