Description
Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Space and Intelligence Division provides professional services to the US Space Force, Combatant Commands, Intelligence Community, and NASA. Our work includes enterprise architectural assessments, systems engineering and integration, test, planning and execution, cost estimating and analysis, acquisition support, and cybersecurity. We are trusted partners developing approaches and concepts to meet emerging high priority needs, assessing cutting-edge technologies, and supporting capabilities for our National Defense. Come join the fastest growing Division at Systems Planning and Analysis, Inc.
The Strategic Technology Analysis Group, part of SPA's Space and Intelligence Division, offers sophisticated capabilities (people, process & tools) to resolve unique problems in space, cyber, and special operations in support to military services, Secretary of Defense offices (OSD) and theater warfighters. Our portfolio includes the Assistant Secretary of Air Force for Space Acquisition & Integration (SAF/SQ), Joint Warfare Analysis Center (JWAC), Space Security and Defense Program (SSDP), National Space Defense Center (NSDC), Space Warfighting Analysis Center (SWAC), Strategic Capabilities Office (SCO), US Space Command (USSPACECOM) and US Space Force (USSF). Come be a part of a high-speed low-drag organization providing unique and tailored solutions for our National Defense!
SPA has a near-term need for a MBSE & SysML Analyst.
Responsibilities
The MBSE and SysML Analyst will support NASIC's transition toward model-based systems engineering (MBSE) and dynamic, model-centric intelligence capabilities. This position will develop, analyze, and maintain SysML-based system models and architectures, evaluate system performance and technical feasibility, and provide systems engineering recommendations that support modernization of intelligence products and workflows. The analyst will collaborate with systems engineers, modelers, mission analysts, architects, and other stakeholders to translate mission and technical requirements into traceable model-based representations and ensure models effectively support engineering analysis, integration, and decision-making.
Qualifications
Required Qualifications
- U.S. citizenship and a TS/SCI security clearance at time of application
- Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline
- 10+ years of experience applying Model-Based Systems Engineering (MBSE) methodologies to complex systems or mission environments
- Hands-on experience developing and analyzing SysML models and system architecture
- Experience with MBSE/SysML modeling tools such as Cameo Systems Modeler/MagicDraw, IBM Rhapsody, Enterprise Architect, or comparable platforms
- Experience translating mission needs, system requirements, interfaces, behaviors, and relationships into model-based representations
- Understanding of systems engineering principles, including requirements analysis, architecture development, interface analysis, traceability, verification, and validation
- Ability to assess technical performance, feasibility, integration, and architectural alignment and communicate recommendations to technical and non-technical stakeholders
- Strong technical documentation, briefing, and cross-functional collaboration skills
- Ability to report to designated work location in Dayton, up to full time, based on the needs of the customer
Desired Qualifications
- Advanced degree in Systems Engineering, Engineering, Computer Science, or a related technical discipline
- Experience applying MBSE within DoD, Intelligence Community, NASIC, aerospace, C4ISR, or other complex mission environments
- Familiarity with DoDAF, UAF, or other enterprise/system architecture frameworks
- Experience integrating MBSE with modeling and simulation (M&S), digital engineering, digital thread, or digital transformation initiatives
- Experience with model repositories, configuration management, model governance, or collaborative model-development environments
- Knowledge of modeling ontologies, taxonomies, data standards, and model-based analytic workflows
- Experience using model-based analysis to assess system performance, mission effectiveness, technical risk, or alternative architectures
- Relevant systems engineering or MBSE certifications, such as OMG OCSMP, INCOSE ASEP/CSEP, or equivalent
- Experience working across multidisciplinary engineering, intelligence, software, modeling, and mission teams
Qualifications
Required Qualifications
- U.S. citizenship and a TS/SCI security clearance at time of application
- Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline
- 10+ years of experience applying Model-Based Systems Engineering (MBSE) methodologies to complex systems or mission environments
- Hands-on experience developing and analyzing SysML models and system architecture
- Experience with MBSE/SysML modeling tools such as Cameo Systems Modeler/MagicDraw, IBM Rhapsody, Enterprise Architect, or comparable platforms
- Experience translating mission needs, system requirements, interfaces, behaviors, and relationships into model-based representations
- Understanding of systems engineering principles, including requirements analysis, architecture development, interface analysis, traceability, verification, and validation
- Ability to assess technical performance, feasibility, integration, and architectural alignment and communicate recommendations to technical and non-technical stakeholders
- Strong technical documentation, briefing, and cross-functional collaboration skills
- Ability to report to designated work location in Dayton, up to full time, based on the needs of the customer
Desired Qualifications
- Advanced degree in Systems Engineering, Engineering, Computer Science, or a related technical discipline
- Experience applying MBSE within DoD, Intelligence Community, NASIC, aerospace, C4ISR, or other complex mission environments
- Familiarity with DoDAF, UAF, or other enterprise/system architecture frameworks
- Experience integrating MBSE with modeling and simulation (M&S), digital engineering, digital thread, or digital transformation initiatives
- Experience with model repositories, configuration management, model governance, or collaborative model-development environments
- Knowledge of modeling ontologies, taxonomies, data standards, and model-based analytic workflows
- Experience using model-based analysis to assess system performance, mission effectiveness, technical risk, or alternative architectures
- Relevant systems engineering or MBSE certifications, such as OMG OCSMP, INCOSE ASEP/CSEP, or equivalent
- Experience working across multidisciplinary engineering, intelligence, software, modeling, and mission teams
Responsibilities
The MBSE and SysML Analyst will support NASIC's transition toward model-based systems engineering (MBSE) and dynamic, model-centric intelligence capabilities. This position will develop, analyze, and maintain SysML-based system models and architectures, evaluate system performance and technical feasibility, and provide systems engineering recommendations that support modernization of intelligence products and workflows. The analyst will collaborate with systems engineers, modelers, mission analysts, architects, and other stakeholders to translate mission and technical requirements into traceable model-based representations and ensure models effectively support engineering analysis, integration, and decision-making.
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