Joint Operational Logistics Analyst/Subject Matter Expert (Modeling & Simulation)

Title:

Joint Operational Logistics Analyst/Subject Matter Expert (Modeling & Simulation)

Belong. Connect. Grow. with KBR!

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

Why Join Us?

• Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.

• Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.

• Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

Key Responsibilities:

KBR is seeking a Joint Operational Logistics Analyst/Subject Matter Expert (SME) with deep knowledge of U.S. military logistics and operational planning to apply experiences in a model and simulation (M&S) environment in support of the Defense Advanced Research Projects Agency (DARPA). Expertise should be in the areas of planning, managing, and executing the movement and sustainment of military forces through the supply and maintenance of personnel, materiel, equipment, and services. Candidate must be able to apply expertise to deconstruct missions, assist in the development of operationally relevant design of experiments in the M&S environment, and support analysis of logistic flows in a contested environment. The ideal candidate will:

• Serve as the operational logistics authority within an interdisciplinary team supporting DARPA and other Defense M&S efforts.
• Be comfortable working in a dynamic environment and with making or supporting decisions under uncertainty.
• Develop, configure, and execute mission-level simulations to analyze force employment, sustainment, and readiness across contested environments.
• Translate operational logistics requirements, doctrine, and tactics into computational models, simulation inputs, and scenario constructs.
• Support and/or conduct quantitative analysis of supply chain resilience, force mobility, deployment timelines, and sustainment operations.
• Support and/or perform sensitivity analyses, trade-off studies, and risk assessments using simulation outputs.
• Provide technical review and validation of M&S results against doctrine, historical data, and/or real-world operations.
• Author and deliver technical reports, white papers, and decision briefs for senior military and civilian leaders.
• Collaborate with DoD labs, FFRDCs, and industry partners on advancing next-generation M&S tools for logistics and operations.
• Lead small teams or tasks in support of the broader overall effort.

Work Environment:

• Location: On-site
• Travel Requirements: Minimal 0-20%
• Working Hours: Standard

Qualifications:

Required:

• Bachelor’s Degree in a STEM field with at least 12 years of relevant experience in U.S. military operations, logistics, sustainment, or force deployment
• Proficiency in operations research methods, data analytics, and computational modeling techniques
• Strong working knowledge of U.S. joint military planning processes (JOPES, MDMP, joint logistics doctrine)
• Proven ability to bridge operational requirements with technical modeling solutions

Desired:

• Master’s Degree or Ph.D. in Operations Research, Systems Engineering, Applied Mathematics, Logistics, or related technical field, with at least 14 years of relevant experience
• U.S. military Joint Qualified Officer designation
• Experience supporting Joint Staff, OSD, or Combatant Command campaign analyses
• Familiarity with wargaming design, campaign modeling, force structure assessments, or digital engineering environments
• Proficiency in programming/scripting languages (Python, R, MATLAB, or similar) for data processing and model enhancement
• Experience with distributed simulation environments and interoperability standards (HLA, DIS, FMI)

Scheduled Weekly Hours:

40hrs

Basic Compensation:

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or o