Req ID: 0153

GEOINT Source Strategies Analyst - Expert / Springfield, VA

Clearance Level - TS/SCI

(Must be able to obtain CI Poly after hire)

Schedule: Shift 1

Candidates must possess the following:

10+ yrs experience with tasking, collection, processing, exploitation, and dissemination (TCPED) of GEOINT data including support to real-time and activity-based collection
7+ years experience managing large multi-source data sensemaking, assessing metrics associated with model output confidence/reliability, developing automated collection strategies, and working with data scientists
Knowledge of traditional and developing overhead sensors and capabilities with exposure to automated collection strategies and inferencing methodologies which derive insights from temporal and spatial data sets
Experience with multi-tasking for day-to-day operations within a program management and professional environment in several geographically separated locations
Experience with NSG focus areas and collection management structures, including NSG/IC collaborative tools for GEOINT collection, production, and visualization
Ability to collaborate with customers and source providers to develop comprehensive multi-intelligence, multi-source strategies to address complex or unusual intelligence problems
Ability to support research phase of Information Need development and understand impacts of phenomenology on tasking of traditional and non-traditional GEOINT
Experience with GEOINT Information Management Services (GIMS), reflecting knowledge of the GEOINT Community, its focus areas, and its collection management structures
TS/SCI clearance with a polygraph
HS diploma or GED

Candidates with the following qualifications in addition to the above will receive elevated consideration:

Experience providing feedback to assist with development of training materials
Experience with research, evaluation, and documentation of unique and non-traditional NTM sensor capabilities.
Experience with turning intelligence capabilities and workflows into learning objectives for training audiences.
Operational experience with vector data.