Senior Operations Analyst

We are seeking an Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI's autonomous systems. In this role, you will perform mission-level analyses to evaluate the effectiveness, survivability, and operational impact of our autonomy solutions across multiple platforms and domains.

This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments.

Responsibilities:

• Execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
• Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
• Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
• Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
• Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
• Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
• Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
• Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
• Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
• Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.
• Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.