MBSE Tool Administration:

Oversee the configuration, maintenance, and optimization of MBSE tools and environments, including systems modeling software and PLM/data management platforms. Process and Standards Management:

Develop, document, and update MBSE procedures and standards to ensure consistency, compliance, and best practices across all projects. Training and Support:

Provide expert guidance and training to engineers and project teams on MBSE tool usage, fostering a collaborative and knowledgeable work environment. Repository and Data Integrity:

Administer model repositories and version control systems to ensure models are current, traceable, and integrated with requirements and system data. Cross-Functional Collaboration:

Work closely with systems engineers and other technical teams to facilitate the integration of MBSE processes into overall system development efforts, including supporting requirements tracing, technology assessments, and interface definitions. Continuous Improvement:

Identify process improvements and recommend enhancements to MBSE practices and toolsets, ensuring that our capabilities remain at the cutting edge of industry standards. Compliance and Reporting:

Monitor and report on the performance of MBSE initiatives, ensuring that all systems meet technical specifications and quality standards throughout their operational lifecycle. Associate of Applied Science in Systems Engineering Technology or related STEM field 2 years of experience relevant to configuration, maintenance, and optimization of MBSE tools and environments Proficient in Microsoft Office applications (Word, Excel, PowerPoint). Must be a U.S. Citizen. Ability to obtain a DOD security clearance to a level of Secret. Experience with product lifecycle management (PLM) and data management tools. Experience with Cameo Systems Modeler or similar systems modeling software. Proficiency in Systems Modeling Language (SysML) and familiarity with architecture frameworks such as the Unified Architecture Framework (UAF). Experience with lifecycle modeling and modern systems engineering methodologies. Experience using collaboration and project management tools such as GIT/Bitbucket, Confluence, and Jira. Knowledge of Siemens Product Lifecycle Management (PLM) Tools. Experience with Artificial Intelligence Experience with Data Visualization.