Graham Gilmer

About Graham Gilmer

Graham Gilmer is a senior leader in Booz Allen’s Defense Technology Group, leading Artificial Intelligence and Defense Partnerships for the company. He manages a 400-person team that delivers innovative AI capabilities for DoD customers. Graham is the primary lead for our work supporting AI initiatives across the Department of Defense (DoD). Booz Allen incorporates advanced algorithmic techniques, automation, machine learning, and quantum information science to provide transformative applications in national security. Graham is central to the effort, leading some of the largest engagements at the intersection of AI and Defense. Overall, Booz Allen is the #1 provider of AI services to the federal government.Graham has more than 20 years of experience supporting DOD and other U.S. government agencies. His background includes experience in operations research, portfolio management, and modeling and simulation. Over the course of his career, he has served in delivery oversight and leadership roles for customers across the Air Force, NASA, Navy, Combatant Commands, and Office of the Secretary of Defense, including the Chief Digital and AI Office (CDAO). Graham serves as Visiting Faculty to the National Defense University, advising as an Industry Chair focused on AI matters. He is also a member of the AI Governance Forum for the Center for a New American Security (CNAS) and the Washington, DC Regional Council for the Smithsonian Institution. Graham earned a B.S. in Management Science and Engineering from Stanford University.

Experience

1. Senior Vice President

   Booz Allen Hamilton

   Apr 2023 — Present · Washington, DC, US

   Lead for Defense AI and Defense Partnerships

Education

• Stanford University

  Bachelor of Science (BS)

Skills

• Cost Benefit
• Predictive Modeling
• Monte Carlo Simulation
• Ms Project
• Management Science
• Decision Analysis
• Financial Modeling
• Quantitative Analytics
• Risk Management
• Analysis
• Predictive Analytics
• Operations Research
• Data Analysis
• Statistical Modeling
• Risk Analysis
• Project Management
• Earned Value Management
• Dod
• Analytics