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Sr. GEOINT Source Strategies Analyst

Job in Springfield, Fairfax County, Virginia, 22161, USA
Listing for: Geo-Owl-LLC-3
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Mining
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Geo Owl
· SDVOSB
· Est. 2013

GEOINT Source Strategies Analyst

NGA
· GEOINT COLLECTION
· SOURCE STRATEGY
· SENIOR

Effective GEOINT collection doesn't happen by accident — it happens because analysts who understand the full TCPED pipeline build strategies that match the right sensors to the right problems at the right time. As a Senior GEOINT Source Strategies Analyst, you bring five-plus years of collection management experience to bear on complex multi-source intelligence challenges, helping NGA and its customers get the imagery they need before the window closes.

Role Overview

The Senior GEOINT Source Strategies Analyst applies operational collection management expertise across the full TCPED pipeline to develop multi-source collection strategies that address complex and unusual intelligence requirements. You work with customers and source providers to translate intelligence needs into taskable collection requirements, manage large multi-source datasets, and apply knowledge of overhead sensor phenomenology and automated collection approaches to improve strategy quality.

You navigate NSG and IC collection management structures and tools and operate effectively across a multi-location program management environment.

Source-Derived Role Summary

The Discover and Collection Specialist collaborates with customers and source providers to develop comprehensive multi-intelligence, multi-source strategies to address complex or unusual intelligence problems. Position supports real-time and activity-based collection, automated collection strategies, and sense making of large multi-source datasets in support of GEOINT collection management.

A Day in the Life
  • Develop multi-source, multi-intelligence collection strategies to address complex intelligence requirements — accounting for sensor availability, phenomenology constraints, and customer priorities
  • Support the research phase of Information Need development; assess the impacts of phenomenology on tasking decisions for traditional and non-traditional GEOINT sensors
  • Manage large multi-source datasets: sense-make across feeds, assess model output confidence and reliability metrics, and surface findings as actionable collection recommendations
  • Develop automated collection strategies and apply inferencing methodologies that derive insights from temporal and spatial datasets in collaboration with data scientists
  • Use NSG and IC collection management structures and collaborative tools to coordinate GEOINT collection, production, and visualization across distributed teams
  • Multi-task across simultaneous operational demands in a program management environment supporting several geographically separated locations
Why This Role Matters

Mission Impact

The collection strategies you develop determine what GEOINT reaches decision makers — and what doesn't. Solving complex intelligence problems through multi-source strategy is directly connected to the accuracy and timeliness of intelligence products across the IC and DoD.

Geo Owl Impact

Your operational expertise and customer relationships contribute directly to Geo Owl's performance on this contract and our reputation as a trusted GEOINT partner at NGA.

Your Growth

You'll deepen expertise in automated collection strategy and AI-informed collection approaches while expanding your network across NGA, the IC, and source communities — building the foundation for Expert-level leadership roles.

Core Responsibilities
  • Collaborate with customers and source providers to develop comprehensive multi-intelligence, multi-source strategies addressing complex and unusual intelligence problems
  • Apply TCPED lifecycle expertise — from information need development and tasking through collection, processing, exploitation, and dissemination — including real‑time and activity‑based collection
  • Manage and sense‑make large multi‑source datasets; assess model output confidence and reliability metrics to inform collection decisions
  • Develop automated collection strategies; work with data scientists to apply inferencing methodologies deriving insights from temporal and spatial datasets
  • Support the research phase of Information Need development; advise on phenomenology…
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