Location Client Site -Davis-Monthan Air Force Base (DMAFB), AZ
Anticipated Period of Performance September 01, 2024 - August 31, 2025 + 4 option years
Number of Vacancies: 1
POSITION NOT YET FUNDED. SOLICITING RESUMES FROM INTERESTED CANDIDATES FOR ANTICIPATED CONTRACT AWARD.
Background:
Navanti is seeking an Intelligence Liaison to support an anticipated program at Davis-Monthan Air Force Base (DMAFB), AZ. The program will provide a comprehensive range of Subject Matter Expertise (SME) services, focusing on advanced commercial due diligence analysis, big data analytics, and geolocation-based entity resolution. This position requires proficiency in leading-edge social media exploitation software, intelligence-related automation, and all-source analytical tools. The ideal candidate will possess strong briefing and teaching skills, with the ability to mentor government analysts, conduct in-depth intelligence analysis, and provide threat assessments and predictive analysis. An acute knowledge of interagency intelligence operations and experience in supporting SOF and/or counter-narcotic operations is highly desired. The role also requires the capability to fuse intelligence from multiple disciplines, including HUMINT, SIGINT, COMINT, IMINT, OSINT, PAI, and MASINT. Applicants must be able to travel within the USSOUTHCOM Area of Responsibility, meet all pre-deployment requirements.
Required Knowledge, Skills & Abilities:
Minimum Education & Experience:
Clearance Requirement:
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Navanti provides timely and insightful data and analysis that shapes programming and empowers local voices, bringing their concerns, ideas, and knowledge to a broader audience. Its systems inform high quality interventions in rapidly evolving, conflict affected environments, employing an approach to contextual, nuanced data that uncovers and engages local actors and opportunities in need of support, resources and training – to create sustainable and transformative solutions that impact their communities. Navanti offers near-real time understanding of local dynamics, enabling an anticipatory programmatic capacity that takes advantage of near horizon change.