NGA is looking to improve its business and mission processes by developing and applying advanced modeling techniques to ensure the delivery of timely and accurate geospatial intelligence (GEOINT). This involves analyzing system and data requirements to enhance decision-making for analysts, mission stakeholders, and warfighters.
Requirements
- 18+ years of experience in government or industry, modeling large, complex System-of-Systems or Service-Oriented Architecture (SOA) environments in cloud, on-premise, or hybrid settings
- Experience developing and using modeling tools in cloud environments
- Working knowledge of Model-Based Systems Engineering (MBSE) tools and processes
- Experience with machine learning techniques and tools
- Expert-level experience in Operations Research
- MS&A experience involving Cloud-based technologies
- MS&A experience involving Structured and unstructured Big Data
- MS&A experience involving Automation, augmentation, and artificial intelligence solutions
Responsibilities
- Lead and conduct advanced modeling, simulation, and analysis to support operational and strategic decision-making across NGA’s business and mission functions.
- Develop models of NGA’s architectures, system requirements, and performance metrics—ensuring alignment with broader NGA and National System for Geospatial-Intelligence (NSG) strategies and the future vision for GEOINT.
- Oversee the design and application of complex models, tools, and algorithms to extract insights and patterns from large-scale datasets.
- Create simulations to evaluate alternatives, assess performance and design trade-offs, and explore new capabilities—providing data-driven recommendations for system deployment within existing NSG architectures and cloud environments.
- Guide and mentor teams of Senior-, Mid-, and Junior-level MS&A Engineers, ensuring quality, consistency, and innovation across all modeling efforts.
Other
- Active TS/SCI clearance or the ability to obtain SCI access and pass a polygraph
- Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, Mathematics, or a related STEM field OR an additional 4 years of relevant experience with no degree OR 2 years of relevant experience with a non-STEM degree
- Master’s degree in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, Mathematics, or a related STEM field
