EU remote
General Dynamics Information Technology: Healthcare Fraud SME
About this role
Headquarters: Maryland, United States URL: https://www.gdit.com Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Functional Experts Job Qualifications: Skills: Fraud Analytics, Leadership, Medicaid, Medicare, Work Collaboratively Certifications: None Experience: 15 + years of related experience US Citizenship Required: No Job Description: Make meaningful contributions that fuel critical outcomes for some of the most complex government, defense, and intelligence projects.
Join GDIT as a Healthcare Fraud, Waste and Abuse (FWA) Subject Matter Expert (SME) for a career where your growth is just as important as the mission you support. As a Healthcare FWA SME, the work you’ll do at GDIT will be impactful to the mission of the Centers for Medicare & Medicaid Services (CMS). * **Work visa sponsorship will not be provided for this role. HOW A HEALTHCARE FRAUD SME WILL MAKE AN IMPACT: Leading efforts of technical tasks to completion independently and as part of a team.
Leading efforts to analyze claims data and reviews Federal and State Medicaid law, regulation, and policy. Developing data-driven solutions to business challenges of advanced scope/complexity. Collaborating with predictive modeling teams to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes. Identifying opportunities for leveraging Medicare and Medicaid data to drive insightful business solutions.
Presenting findings to a range of audiences (technical/non-technical) and to various levels of leadership. Effectively communicating with team members while working remotely WHAT YOU 'LL NEED TO SUCCEED: Bachelor’s degree (BA/BS) in a related field. Minimum of 15 years of relevant experience in Medicaid investigative roles focused on fraud, waste, and abuse. Familiarity with investigative tools, data sources, and methodologies commonly used in FWA detection and analysis.
Knowledge of healthcare FWA concepts, schemes, trends, and investigative approaches. Ability to communicate complex fraud-related findings in a clear, concise way that enables quick action. Team-oriented outlook to facilitate collaboration across a cross-functional team of data scientists, clinicians, and other FWA SMEs. GDIT IS YOUR PLACE: At GDIT, the mission is our purpose, and our people are at the center of everything we do.