Senior System Architect

Senior System Architect

Requirements

• Bachelor’s degree in Industrial Engineering, Operations Research, Applied Mathematics, or a related technical field plus 15 or more years of relevant experience -or-
• Master’s degree in Industrial Engineering, Operations Research, Applied Mathematics, or a related technical field plus 12 or more years relevant experience -or-
• Doctorate in Industrial Engineering, Operations Research, Applied Mathematics, or a related technical field plus 9 or more years relevant experience
• 8+ years of experience in modeling and simulation, supply chain engineering, or operations research
• Strong analytical skills with a background in discrete-event, agent-based, or system dynamics modeling, simulation, and analysis
• Experience modeling complex systems, repair operations, or logistics networks
• Ability to distill complex systems and processes into logical workflows and translate analysis results into actionable recommendations and insights
• Excellent communication skills, including the ability to interface with program managers, engineers, and technical / non-technical government and industry stakeholders and partners
• Current Secret security clearance is required
• Ability to obtain a Top Secret security clearance is required

Responsibilities

• Design and implement the system architecture and advanced modeling and simulation tools to represent weapon system production, assembly, testing, sustainment, and repair operations at component, subsystem, and system levels.
• Build and maintain end-to-end digital models of the weapon system manufacturing and repair supply chain, incorporating suppliers, subcontractors, logistics nodes, and depot operations.
• Conduct system performance analysis to evaluate production throughput, bottlenecks, facility utilization, material flow, and process efficiencies.
• Define interfaces, data flows, and integration points across subsystems, modeling tools, databases, and visualization platforms.
• Establish and enforce modeling standards, configuration management, and version control practices to ensure model integrity, traceability, and repeatability.
• Coordinate with stakeholders to translate operational, analytical, and programmatic requirements into model features and architectural components.
• Support validation, verification, and accreditation (VV&A) of models and simulation environments.
• Collaborate with operations research analysts and data scientists to enable analytical methods, optimization models, and performance dashboards.
• Collaborate with data engineers and software developers to ensure proper data integration, model automation, and alignment with enterprise digital environments.
• Develop and maintain technical documentation, including architecture diagrams, model specifications, and system interface control documents.
• Ensure architecture and model designs comply with data governance, security, and export control requirements.
• Provide technical leadership in integrating new modeling technologies, simulation tools, and cloud-based environments as applicable.
• Perform scenario-based analysis (e.g., peak demand, reduced staffing, surge production, quality control flags) to guide strategic decision-making.
• Develop simulation-based dashboards and visualization tools for real-time monitoring of key performance indicators (KPIs), predictive trends, and risks.
• Generate technical documentation, user manuals, and model configuration guides to support sustainment, reuse, and continuous improvement.
• Train and mentor government and contractor personnel in model use, interpretation of results, and adaptation to changing inputs or assumptions.
• Participate in Agile development activities, including sprint planning, backlog grooming, and capability demos to align delivery with user priorities.

Preferred Qualifications

• Proficiency in modeling and simulation platforms such as Arena Simulation, AnyLogic, ExtendSim, ProcessModel, etc.
• Proficiency in data modeling at the enterprise level (such as with Architecture of Integrated Information Systems, or ARIS) to include the conceptual, logical, and physical data models
• Proficiency in data modeling at the systems level (such as MBSE modeling involving Cameo or Enterprise Architect)
• Proficiency in developing, testing, and programming algorithms and mathematical expressions in one or more programming languages (MATLAB, Python, R, C/C++/C#, etc.)
• Experience supporting Department of Defense (DoD), aerospace, or high-reliability manufacturing programs
• Familiarity with integrating digital engineering and digital transformation concepts, MBSE, or digital twin/thread ecosystems into DoD programs
• Knowledge of pricing and cost estimation methods, including labor/material roll-up, work breakdown structure alignment, and contract negotiation support.
• Understanding of Agile development, DevSecOps, or model integration into enterprise analytics platforms.