Technical Project Management, Senior Advisor

About Peraton
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.
Key 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-health/hospice/prescription typologies.
Direct experience inside the CMS program-integrity ecosystem: UPICs, MEDICs, MFCUs, HHS-OIG, DOJ, and Federal/State task-force coordination.
Demonstrated ability to define and curate ground-truth datasets or investigative reference sets used to evaluate fraud-detection outputs.
Ability to translate investigator and analyst workflows into use cases and acceptance criteria for analytics or AI teams.
Familiarity with FPS, IDR, One PI, UCM, or comparable CMS PI systems and their outputs (provider-risk scores, ASRs, model alerts, NCD policy references), enough to interpret them, not to build them.
Comfort partnering with AI/analytics engineers without needing to write code - the SME provides domain judgment, not implementation.
Excellent written and verbal communication; comfortable representing findings to CMS stakeholders and law-enforcement partners.
US citizen with the ability to obtain a Public Trust clearance.
Nice to Have
Certified Fraud Examiner (CFE) credential
Prior work with UPICs, MEDICs, CPS, OIG, DOJ, or as a CMS analyst.
Hands-on experience with SAP BusinessObjects (Web Intelligence) on Medicare/Medicaid universes, plus SAS, Snowflake/Snowsight, or Databricks.
Exposure to agentic AI / LLM analyst tools and comfort using them to accelerate lead review and case building.
Familiarity with T-MSIS and cross-state Medicaid data.
Clinical, coding (CPT/HCPCS/ICD-10), or nursing background.
Experience authoring analyst training material, job aids, or short training modules.
Details
Target Salary Range: $176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate's own.
EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Work arrangement
Yes