Electromagnetic Warfare (EW)/ JEMSO Subject Matter Expert (SME)

Valiant Integrated Services•Suffolk, VA

2d•Onsite

About The Position

Valiant is seeking an experienced Electromagnetic Warfare (EW) / Joint Electromagnetic Spectrum Operations (JEMSO) Subject Matter Expert (SME) to support development of exercises for the Joint Staff J-7 Deputy Directorate for Joint Training and Exercises (DDJTE) in Suffolk, Virginia. The SME leads planning, integration, and execution of realistic electromagnetic spectrum operations in support of Joint Staff and Combatant Command exercises. The role works with Joint planners, Intelligence Community partners, Modeling and Simulation (M&S) teams, and Operational Environment (OE) planners to replicate friendly and adversary electromagnetic activities. It also leverages Government-provided artificial intelligence, advanced analytics, and emerging technologies to improve exercise realism, operational decision-making, and Joint Force readiness. The role participates in selected Joint Exercise Life Cycle (JELC) planning conferences, workshops, rehearsals, and execution events; develops electromagnetic activities and effects for operational scenarios; and coordinates multi-domain exercise design. It maintains relevant ELINT and emitter data, produces and synchronizes exercise products and injects, develops cross-domain Order of Battle data, researches adversary capabilities, and supports intelligence collection and warning analysis during Joint exercises. Travel may be required up to 25% of the time.

Requirements

U.S. citizenship.
A current or obtainable valid U.S. passport.
Active U.S. DoD Top Secret security clearance with SCI eligibility.
Bachelor’s degree or higher from an accredited institution and at least eight years of operational experience, or specialized technical training and certifications directly related to the requirement equivalent to military and operational experience.
Thorough understanding of JEMSO, EW, and the OE.
Experience integrating EMSO into exercises.
Excellent written and verbal communication skills.
Ability to brief senior military and government leadership.
Willingness and ability to travel up to 25% of the time.

Nice To Haves

Joint Forces Staff College / JPME II graduate.
Joint Staff or Combatant Command exercise planning experience.
Graduate degree in military operations, engineering, intelligence, cybersecurity, or a related discipline.
Experience supporting Tier I Joint exercises.
Experience with ELINT databases and emitter modeling.
Knowledge of CJADC2 concepts.
Demonstrated experience supporting Joint Staff, Combatant Commands, Service Components, or other DoD headquarters.
Experience using AI, machine learning, Power BI, Microsoft Power Platform, or advanced analytics tools to support operational planning and decision-making.

Responsibilities

Serve as the Joint EW and JEMSO subject matter expert for assigned Joint Staff and Combatant Command exercises.
Participate in selected JELC planning conferences, workshops, rehearsals, and exercise execution events.
Develop and integrate friendly, adversary, coalition, and neutral electromagnetic spectrum activities into operational scenarios.
Design realistic EMSO effects that support operational and strategic training objectives.
Coordinate with OE, Intelligence, Cyber, Space, Information Environment, and M&S planners to ensure integrated multi-domain exercise design.
Verify, maintain, and update ELINT parametric data, emitter characteristics, and electronic attack system databases used in Joint modeling and simulation environments.
Produce and synchronize EW/JEMSO products, scripting, injects, and operational effects supporting exercise execution.
Develop realistic Order of Battle data across air, land, maritime, cyber, space, and electromagnetic spectrum domains.
Research and analyze emerging adversary capabilities, tactics, techniques, and procedures to improve operational realism.
Support intelligence TCPED activities and provide indications and warning analysis during Joint exercises.
Use Government-provided AI, machine learning, advanced analytics, and emerging technologies to improve exercise planning, operational analysis, scenario development, and after-action assessments.