Digital Engineering Analyst; MBSE

Who We Are

Sabel Systems Technology Solutions, LLC is a leading solution provider and rapidly growing Information and Communications Technology Company specializing in innovative and agile Digital Engineering and Acquisition Technical Stack design, implementation, and support, Strategy and Policy Development, Financial Management, Software Solutions Development, Requirements Analysis and Training, to name a few. Our client base is mostly in the DoD Federal Government Contracting space and we also partner with prime Government Contractors such as Siemens, Booze Allen, McKinsey and have work in the commercial space as well.

We provide clients with large business opportunities and training within our small business agility and people first culture. You will be joining a dynamic and highly motivated team with one goal: "Get quality and secure solutions in the customers hands as soon as possible".

We are seeking a Digital Engineering Analyst with a focus on Model-Based Systems Engineering (MBSE) to support the development and governance of a centralized, enterprise-level digital engineering ecosystem. This role is critical in ensuring that complex DoD programs can seamlessly exchange, validate, and analyze data across the lifecycle. You will work closely with Senior Systems Architects to bridge the gap between technical modeling and programmatic requirements, ensuring a robust digital thread.

• Traceability Analysis:
  Perform detailed analysis to ensure end-to-end traceability between requirements, architectural models, and verification artifacts.
• Governance Support:
  Support the implementation of digital thread standards to maintain data integrity across disparate engineering environments.
• CDRL & Model Validation:
  Manage the process for industry partners to deliver and validate digital Contract Data Requirements Lists (CDRLs) and system models within the government’s centralized technical platform.

• Semantic Normalization:
  Collaborate with Senior Systems Architects to execute semantic normalization of technical data, ensuring consistent interpretation across the enterprise data architecture.
• Model Integration:
  Assist in the development of MBSE models (SysML) that represent complex system behaviors, structures, and requirements.

• Frictionless Data Transfer:
  Optimize mechanisms for data exchange between environments at the same classification level, utilizing both Graphical User Interfaces (GUI) and automated/scriptable methods (APIs) for bulk transfers.
• Technical Stack
  
  Collaboration:
  
  Support a centralized digital "toolbox" that promotes collaboration among acquisition personnel, logisticians, and engineers through modeling, simulation, and technical analysis.