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Systems Planning and Analysis

Provides data-driven national security analytics

MBSE & Systems Modeling Language Analyst

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeDayton, OH, USANo salary listed

About the Job

Requirements

  • U.S. citizenship and an active TS/SCI security clearance are required at the time of application.
  • A bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline is required.
  • At least 10 years of experience applying Model-Based Systems Engineering methodologies to complex systems or mission environments is required.
  • Experience applying Model-Based Systems Engineering within the Department of Defense, Intelligence Community, NASIC, aerospace, C4ISR, or other complex mission environments is required.
  • Hands-on experience developing and analyzing Systems Modeling Language models and system architecture is required.
  • Experience with Model-Based Systems Engineering and Systems Modeling Language modeling tools such as Cameo Systems Modeler/MagicDraw, IBM Rhapsody, Enterprise Architect, or comparable platforms is required.
  • Experience translating mission needs, system requirements, interfaces, behaviors, and relationships into model-based representations is required.
  • Understanding of systems engineering principles, including requirements analysis, architecture development, interface analysis, traceability, verification, and validation is required.
  • Ability to assess technical performance, feasibility, integration, and architectural alignment, and communicate recommendations to technical and non-technical stakeholders is required.
  • Strong technical documentation and briefing skills, and cross-functional collaboration skills, are required.
  • Ability to report to the designated work location in Dayton up to full time, based on customer needs, is required.

Responsibilities

  • Support NASIC's transition toward model-based systems engineering and dynamic, model-centric intelligence capabilities.
  • Develop, analyze, and maintain Systems Modeling Language-based system models and architectures.
  • Evaluate system performance and technical feasibility.
  • Provide systems engineering recommendations that support modernization of intelligence products and workflows.
  • Collaborate with systems engineers, modelers, mission analysts, architects, and other stakeholders to translate mission and technical requirements into traceable model-based representations.
  • Ensure models effectively support engineering analysis, integration, and decision-making.

Desired Qualifications

  • An advanced degree in Systems Engineering, Engineering, Computer Science, or a related technical discipline is preferred.
  • Familiarity with DoDAF, UAF, or other enterprise or system architecture frameworks is preferred.
  • Experience integrating Model-Based Systems Engineering with modeling and simulation, digital engineering, digital thread, or digital transformation initiatives is preferred.
  • Experience with model repositories, configuration management, model governance, or collaborative model-development environments is preferred.
  • Knowledge of modeling ontologies, taxonomies, data standards, and model-based analytic workflows is preferred.
  • Experience using model-based analysis to assess system performance, mission effectiveness, technical risk, or alternative architectures is preferred.
  • Relevant systems engineering or Model-Based Systems Engineering certifications, such as OMG OCSMP, INCOSE ASEP/CSEP, or equivalent, are preferred.
  • Experience working across multidisciplinary engineering, intelligence, software, modeling, and mission teams is preferred.

About the Company

Systems Planning and Analysis

Provides data-driven national security analytics

SPA is a global advisory firm that supports U.S. national security decision-making by using modeling, simulation, and rigorous analysis to inform programs across the Navy, DoD, Homeland Security, and Energy. Its products rely on building models, running simulations, and applying data science, wargaming, and digital engineering in an advanced analytics lab to forecast outcomes and compare options. The firm differentiates itself through a 50-year track record, strong government relationships, and growth via acquisitions that broaden capabilities in space, data science, and wargaming, plus an in-house Office of Innovation. Its goal is to accelerate the delivery of accurate, actionable analyses and new capabilities that help defense leaders choose the best paths for programs and investments.

Company size
1,001-5,000
Company stage
N/A
Total funding
$20.1M
Headquarters
Alexandria, VA
Founded
1972

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