Director | Product R&D

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 seeking a Director, New Product Research & Development to serve as the Healthcare Payment Integrity Subject Matter Expert embedded within our Product organization.

You will partner primarily with Product Management, Data Science, and Engineering to turn domain insight into platform-informed product requirements, model evaluation criteria, and high-impact features. You will also be the Product team’s market and regulatory research engine—continuously translating policy and market dynamics into actionable opportunities and risks. A strong, hands‑on understanding of a Payment Integrity platform (e.g., Cotiviti, Machinify) and direct experience working with Data Science are required.

• Lead domain strategy within Product

  • Define the domain vision and standards for Payment Integrity across prepay and postpay use cases, aligning clinical, coding, and policy rigor with Machinify’s product strategy and business goals.

  • Help establish governance for policy/clinical accuracy, model and rule validation, and compliance‑by‑design; set the quality bar and go/no‑go criteria for releases.

• Platform‑first discovery and solutioning

  • Develop deep expertise in Machinify’s platform capabilities (data ingestion/normalization, rules/decisioning, model training/evaluation, reviewer workbench, explainability/audit, X12/EDI integrations).

  • Use platform capabilities to drive concept ideation and solution design, recommending configure‑vs‑build paths to accelerate delivery and scalability.

• Partner hands‑on with Data Science

  • Define ground‑truth labeling guidance, sampling strategies, and evaluation metrics (precision/recall, dollar yield, false positive rate, overturn rate, provider abrasion).

  • Review and critique features and model outputs; identify failure patterns and recommend model, rule, or policy adjustments.

  • Maintain curated test sets and UAT plans that reflect NCCI edits (PTP/MUE), DRG/APC logic, CMS NCD/LCD, plan‑specific rules, and fraud/waste/abuse patterns.

• Be the market and regulatory intelligence engine

  • Monitor and synthesize CMS updates (IPPS/OPPS), NCD/LCD, NCCI, state regulations, payer policy trends, provider billing behaviors, and the vendor/competitive landscape.

  • Deliver concise POVs and impact briefs; translate shifts into product opportunities, risks, and design constraints to inform PM‑led prioritization and long‑term bets.

• Bridge SME Operations insights into product decisions

  • Aggregate and structure inputs from SME Operations, client services, and customers into prioritized problem statements and actionable requirements that improve model accuracy, reviewer efficiency, and auditability.

• Support cross‑functional execution and enablement

  • Participate in requirement reviews, design critiques, and readiness checks; oversee UAT to ensure features meet acceptance criteria and compliance needs.

  • Conduct trainings and workshops that upskill Product, Engineering, and Data Science on domain concepts and platform implications; create clear domain documentation.

• Measure outcomes and iterate

  • Define domain‑level OKRs and success metrics with PM and DS (e.g., yield, accuracy, time‑to‑detect, overturns, provider abrasion) and drive continuous improvement through analytics and qualitative feedback.

  • Provide executive‑level communication, influence, and stakeholder management across Product leadership and with strategic customers and partners.

Note:

This role is focused on product discovery, domain strategy, requirements, and validation. It does not manage day‑to‑day operations queues, staffing, or customer support.