Technical Project Management, Senior Advisor

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.

About the role

Peraton is seeking a Technical Project Manager to fulfill the role of a Fraud Analytics SME to serve as the healthcare program-integrity subject-matter authority on an agentic AI proof-of-concept team supporting the Fraud Prevention System Program (FPS2) program for CMS, driving fraud/waste/abuse use-case selection, ground-truth curation, and analyst-facing adoption. Working alongside AI engineers and investigators, the SME ensures AI-generated leads, dashboards, and case files reflect how Medicare and Medicaid fraud is actually detected, investigated, and adjudicated in the CMS program-integrity ecosystem.

Responsibilities

• Serve as the healthcare program-integrity and FWA subject-matter authority on the AI tool assessment project within FPS.
• Drive FWA use-case selection for the POC, prioritized by fraud impact and analyst value.
• Define and curate ground-truth datasets (known-bad-actor sets, adjudicated case outcomes, referral/enforcement outcomes) used to evaluate AI-generated leads and case files.
• Shape analyst-facing use of Peraton[X] (Peraton's AI tool) and Rapid FI (Fraud Intelligence) so generated leads, dashboards, and case files match real UPIC/MEDIC/MFCU/FDOC investigator workflows.
• Evaluate AI-generated outputs for factual, clinical, and procedural accuracy; represent the analyst voice back to engineering.
• Partner with the Fraud Signals AI Engineer to validate Babel Street correlations against known fraud patterns, and with the Peraton[X] Support SME on user onboarding and training material.

Qualifications

• Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
• 5+ years working with Medicare and/or Medicaid claims data in a program-integrity, audit, investigative, or fraud-analytics role.
• Deep knowledge of healthcare FWA patterns: billing schemes, coding manipulation, identity/beneficiary fraud, provider collusion, DME/home-he