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
Experience applying MBSE within DoD, Intelligence Community, NASIC, aerospace, C4ISR, or other complex 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
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
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.
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
Experience applying MBSE within DoD, Intelligence Community, NASIC, aerospace, C4ISR, or other complex 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
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