Lead Model Based Systems Engineer (MBSE) / Digital Engineer

Modern Technology Solutions, Inc. (MTSI) is hiring a Lead Model Based Systems Engineer (MBSE)/Digital Engineer to work in Springfield, VA or St. Louis, MO. Qualified candidates must be U.S. citizens with an active TS/SCI clearance and be eligible to obtain a CI Poly.

• Serve as a senior technical advisor to the NGA Chief Architect and provide hands-on leadership for the modeling, Digital Thread strategy, lifecycle traceability and ecosystem integration that underpin the DEE. 

• Help engineer the evolution from fragmented tools and disconnected data toward a unified, model-driven ecosystem anchored by an enterprise authoritative data source, enabling decision-grade engineering and mission operations. 

• Guide MBSE/UAF/SysML modeling efforts, coordinate mission engineering threads, and directly shape the architectural and data integration backbone for NGA’s enterprise-level Digital Twin. 

• Leads a team of MBSE engineers and collaborates deeply with the Enterprise Architect, data Architect, Platform/Cloud engineers, mission engagement leads, cyber team, governance stakeholders, and vendor partners. 

• You will be instrumental in building NGA’s EA Digital Twin capability, modeling the future-state enterprise, and delivering the unified Digital Engineering environment the IC and DoW have sought for years. 

• You will operate at the strategic level while remaining deeply technical, becoming a critical force multiplier for the Chief Architect and for NGA’s Digital Transformation journey. 

• DE/MBSE Leadership: Serve as the enterprise lead for Digital Engineering and MBSE, driving standards, governance, and model centric transformation across NGA. 

• Team Management: Lead and mentor a high-performing team of DE/MBSE engineers to advance modeling, integration, and ecosystem maturation throughout the organization. 

• Cross-Functional Integration: Partner seamlessly with the tech lead, enterprise architect, data engineers, cloud/platform teams, cyber professionals, and mission engagement leads to deliver cohesive enterprise outcomes. 

• Strategic Advisory: Advise the Chief Architect and senior leadership with continuous assessments, insights, and recommendations that strengthen DE/MBSE capability and accelerate digital transformation agency-wide. 

• Systems Engineering: Model end-to-end enterprise solutions — spanning capabilities, services, APIs, workflows, and data models — to architect a future-ready, resilient DEE. 

• Digital Thread Development: Collaborate with platform and data engineers to deploy applications, build Digital Threads, and automate pipelines that unify authoritative data sources and deliver high-fidelity engineering insights. 

• Vendor Engagement: Act as a key technical liaison with industry partners, leading technical exchanges, reconciling competing architecture, and driving consensus toward integrated, mission-focused solutions. 

• Bachelor’s degree with 8+ years of experience in systems engineering, systems architecture or enterprise architecture including MBSE 

• DoD Compliance: Desired to meet DoD 8140/8570 requirements for an IAM Level II position (Ex: ISC2 CISSP or Sec+)  

• 5+ years of experience leading systems engineering projects 

• Deep hands-on experience with SysML (v1.x minimum; v2 highly desired) and enterprise UAF modeling 

• Proficiency with Cameo Enterprise Architect, Teamwork Cloud, IBM Rhapsody or similar tool Experience modeling use cases and their associated workflows 

• Prior experience working within Scrum or Agile development environments 

• Experience with UAF and early adoption of SysMLv2 (including textual modeling tools such as SysIDE).

• Experience integrating MBSE tools with Requirements Management Tools, MS&A, CAD/CAE and Digital Thread technologies (Syndeia, ModelCenter, etc.).

• Prior trusted advisor experience supporting senior government technical leadership. 

• Ability to automate model and data collection to assess DEE current state and quantify ROI relative to mission outcomes. 

• Broad familiarity with the larger DEE tech stack (requirements tools, MS&A, DevSecOps platforms, EA/BI systems, data fabric technologies). 

• Experience with data modeling and ontologies.

• Self-starter that can automate data gathering to assess current state of a Digital Ecosystem and to assess ROI of assets vs mission outcomes.