Product Manager

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

Machinify is a leading healthcare intelligence company formed through the combination of five payment integrity industry leaders:
The Rawlings Group, Apixio Payment Integrity, VARIS, Machinify's AI platform, and Performant Healthcare. Backed by New Mountain Capital and valued at approximately $5 billion, we serve over 60 health plans including many of the top 20, representing more than 160 million lives.

We are building a unified AI-powered platform that transforms healthcare payments by combining revolutionary technology, clinical expertise, and rich data assets to deliver unmatched value, transparency, and efficiency across the payment continuum.

We are hiring a Senior Technical Data Product Manager to drive the data product roadmap in close partnership with data engineering and architecture leadership. Reporting to the Sr. Director of Product Management for Platform & Data, you will work alongside the VP of Data Engineering, CTO, and technical leads to translate business needs into product requirements and coordinate execution across teams.

This role requires someone exceptional at three critical capabilities:
deeply understanding complex current state
, envisioning and defining compelling future state
, and executing at extraordinary velocity to bridge the two. The right candidate will rapidly assess the landscape, build credibility across technical teams, and ship measurable value quickly—we expect clear thinking on product direction within the first 90 days and demonstrable impact on team velocity shortly after.

You will partner with data engineering, data science, and platform engineering leadership to define and deliver data products and capabilities that enable product teams across coordination of benefits, subrogation, audit, pharmacy payment integrity, and complex claims solutions. You will serve as the connective tissue between business requirements and technical execution, coordinating the consolidation of disparate legacy systems into modern, unified infrastructure while enabling new product capabilities.

This is a hands-on technical role requiring prior experience as a data engineer, data scientist, or analytics engineer
. You must be comfortable writing SQL, reviewing data architectures, and engaging substantively in technical discussions. You will work across multiple legacy platforms, each with different technologies, cultures, and tribal knowledge—requiring exceptional ability to influence without direct authority.

• Assess current state rapidly: Work with data engineering and architecture teams to understand complex legacy landscapes—what exists, where critical information lives, and how systems actually work

• Contribute to future state vision: Partner with VP Data Engineering, CTO, and architecture leads to shape target data architectures, canonical models, and platform capabilities that will scale to support product teams

• Develop product roadmap: Translate business priorities into data product requirements, working with technical leadership to sequence initiatives and balance migration work, new capabilities, and product enablement

• Support technical evaluations: Contribute product perspective to build vs. buy decisions, technology evaluations (lakehouse formats, real-time processing, AI-powered automation), and architectural choices

• Define and track success metrics: Establish product-level OKRs, track adoption across product teams, and communicate progress to stakeholders