Prediction & Evaluation Technical Lead

For sixty years, the NRO has developed, acquired, launched and operated the satellites that are the foundation for America's advantage and strength in space. Using a diversified architecture of spacecraft, NRO collects and delivers the best space-based intelligence, surveillance, and reconnaissance content on the planet.

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• You must be a U.S. Citizen
• You must be able to obtain and maintain a TS/SCI security clearance
• You will be subject to pre-employment and periodic drug testing
• You will be subject to pre-employment and periodic polygraph examinations

The Ground Enterprise Directorate's (GED) Integrated Intelligence System Program Office (I2

SPO) delivers game-changing capabilities to support the Department of Defense and the Intelligence Community. This position provides an opportunity to establish and lead a dedicated AI/ML Model Development and Evaluation Program Office that will mature forecasting and prediction capabilities critical to the object custody mission, directly impacting collection effectiveness and situational awareness for operational users across the enterprise.

The selected candidate will serve as the Lead for the Multi-INT Prediction and Model Evaluation within GED/I2

SPO. This leader will be responsible for establishing a dedicated program office focused on developing, integrating, evaluating, and operationalizing forecasting and prediction models across I2

SPO's portfolio missions. The position will drive the maturation of object and behavior prediction capabilities, establish evaluation frameworks for internal and external forecasting models, and serve as the primary interface between GED-internal model developer teams, compute infrastructure providers, and external forecasting providers. This leader will translate operational forecasting gaps into a comprehensive development roadmap while establishing the technical infrastructure (test harness, APIs, integration standards) needed to rapidly evaluate and deploy prediction capabilities that enhance object custody, collection optimization, and overhead tasking effectiveness.

The NRO Cadre is collecting resumes for consideration against current and future opportunities for Non-Supervisor, Prediction and Evaluation Technical Lead, GGS 11-13, occupational series 0801/1301/1501. More information on the occupational series can be viewed on the Office of Personnel Management (OPM) website.

This is a full-time position that is open from  to . Resumes must be submitted by 11:59 PM EST on .

• This position is open to the public.
• Federal government employees MUST currently be at the grade level or higher as indicated in this announcement. This is NOT a promotion opportunity for current Federal government employees. If selected for the position, Federal government employees will transition laterally at their current grade level and step.
• Federal applicants who exceed the advertised grade may voluntarily request acceptance at the lower grade per IAW DoW 1400.25 Volume 2006.
• The NRO is only accepting external applicants for this job announcement. Current NRO Cadre employees should apply internally.
• This position MAY qualify for the appointment of a reemployed federal annuitant IAW DoWI 1400.25 Volume 300.

• Establish and lead the Multi-INT Prediction and Model Evaluation Program
• Develop and maintain a comprehensive forecasting and prediction capability roadmap that drives model development priorities within UDE/MAC and integrates 3rd party forecasters
• Design and oversee development of a robust 'test harness' capability that enables rapid comparison and evaluation of forecasting models, producing live operational metrics to quantify performance and identify capability gaps.
• Conduct community and industry surveys of forecasting technology to assess operational maturity, integration approaches, domain applicability, and performance benchmarks.
• Lead development of Forecasting Interface Control Documents (ICDs) and integration standards to enable standardized communication of forecasting services with CIP tools, orchestration functions, and collection systems.
• Serve as technical authority for forecasting/prediction model selection, ensuring automatic selection of best forecaster based on situation/purpose rather than one-size-fits-all approaches.
• Coordinate integration of forecasting capabilities across the object custody ecosystem, ensuring alignment with CIP…