Targeting Automation Specialist — DoD Intelligence (TS/SCI)

Prescient Edge; Tampa (FL); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Competitive salary with performance bonus opportunities

Comprehensive healthcare benefits

Substantial retirement plan with no vesting schedule

Career development opportunities

Job summary

A veteran-owned small business is seeking a Mid Targeting Automation Specialist to support a federal government client. The position involves providing expertise in the Joint Targeting Toolbox and ensuring compliance with DoD requirements. Candidates should have a minimum of 8 years of relevant experience, a bachelor's degree, and a TS/SCI with CI Poly security clearance. The role emphasizes collaboration and efficient information sharing across geographically dispersed teams.

Qualifications

• Minimum 8 years of experience in a related field with recent experience in the last 2 years.
• Bachelor's degree in an area related to the labor category.
• TS/SCI with CI Poly security clearance or ability to obtain it.

Responsibilities

• Provide expertise in Joint Targeting Toolbox (JTT).
• Ensure program meets DoD target automation requirements.
• Maintain JTT and train personnel on its use.
• Create solutions for file sharing on SIPRNET and JWICS.
• Validate information and apply client tradecraft.

Skills

Expertise of the Joint Targeting Toolbox (JTT)

Knowledge management for the Targeting enterprise

Understanding of SIGINT, GEOINT, OSINT, MASINT

Education

Bachelor's degree in a related area

Job description

A veteran-owned small business is seeking a Mid Targeting Automation Specialist to support a federal government client. The position involves providing expertise in the Joint Targeting Toolbox and ensuring compliance with DoD requirements. Candidates should have a minimum of 8 years of relevant experience, a bachelor's degree, and a TS/SCI with CI Poly security clearance. The role emphasizes collaboration and efficient information sharing across geographically dispersed teams.