SME Instructor Activity Intelligence; ABI

Position: SME Instructor Activity Based Intelligence (ABI) 106-006
We are primarily sourcing level 2 Candidates but will consider level 1 Candidates.

SME Instructor Activity Based Intelligence (ABI) delivers in-resident and distributed learning instructional programs in accordance with course requirements for Geospatial analytics, activity-based intelligence, tactical GEOINT tasking, analysis, and production. Uses instructional methods such as guided discussions, lectures, demonstrations, small group exercises, seminars, workshops, and laboratories. Uses instructional technology, including but not limited to Blackboard. Conducts assessment strategy in accordance with the course design, including instructor observation, testing, and grading.

Provides formal and informal student feedback. Provides subject matter expertise throughout the curriculum creation process, including content review and feedback to development staff. Relevant instructional experience includes, but is not limited to, developing and delivering technical training and educational courses in academic, commercial, government, or industrial organizations.

Duties may include:

• Desired degree(s) in one of the following;
  Geography, Geodetic Science, Geospatial Intelligence, Spatial Statistics, or a related discipline
• Possess documented experience within the last 36 months as Geospatial Analyst that has created, analyzed, and interpreted spatial data. The Candidate will apply their knowledge of geographic information science and technology, statistics, spatial thinking, remote sensing, intelligence issues and social and physical science to characterize events, discover relationships and trends, and produce geospatial products
• Possess a working knowledge of the application of GIS and analysis of geospatial data to solve intelligence problems that may face the DoD or the Intelligence Community
• Demonstrated fundamental knowledge of the principles and applications of imagery interpretation, digital image processing systems, collections, and sensor phenomenology
• Demonstrated strong working knowledge of ESRI GIS software and extensions and NGA, DoD, Federal, and Commercial data sources, standards, and models.
• Demonstrated experience maintaining a database
• Demonstrated experience creating, editing, reviewing, and responding to Requests for Information
• For deployment teaching deployer training instructors, requires documented experience supporting a GEOINT mission within the past 24 months. May require additional documented experience directly supporting the NGA mission at a site external to customer base (e.g., OCO-related deployment, Disaster/Humanitarian Relief support, etc.) within the past 24 months of RFP release date
• Familiarity with different INTs (IMINT, SIGINT, GEOINT, etc.), what data they provide, and how to exploit
• Ability to research, analyze, and document findings
• Familiarity with open source data
• Experience with Arc/Arc Pro/QGIS
• Documented experience within the last 24 months solving intelligence problems and filling intelligence gaps through collection of airborne and space-borne imagery
• Documented experience creating and submitting requirements in GIMS or a similar tool within the last 24 months

Level 1 Experience:

• Bachelors degree in area of expertise plus three years of experience, or six years of relevant experience. The expertise must align with work role
• Desired Minimum Instructional
  
  Experience:
  
  Three (3) years of relevant instructor experience

Level 2 Experience:

• Masters degree in area of expertise plus 3 years of relevant experience, or bachelors degree in area of expertise plus 5 years of relevant experience, or twenty (20) years of relevant experience.
• Desired Minimum Teaching
  
  Experience:
  
  Four (4) years of relevant instructor experience.

Security Clearance:

• Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.