Systems Engineering & Architecture Lead

Overview

WiSC Enterprises is seeking a dynamic Systems Engineering & Architecture Lead to support enterprise-scale digital transformation efforts, including the design and implementation of secure architectures, cloud migration strategies, and intelligent automation initiatives. This role blends traditional systems engineering expertise with advanced capabilities in Model-Based Systems Engineering (MBSE), artificial intelligence (AI), and machine learning (ML).

Responsibilities

Key Responsibilities

• Provide subject matter expertise in systems engineering and architecture design across enterprise programs and mission operations
• Lead the planning, development, and management of MBSE and architecture initiatives that support new capabilities, operations, or production environments
• Develop and manage digital transformation programs focused on adapting legacy systems and processes to hybrid (classified and unclassified) cloud environments
• Guide the implementation of IA/AI/ML strategies, including workflow optimization and automation across large and complex datasets
• Define and track system requirements, conduct trade studies, manage T&E (Test & Evaluation), and align architecture strategies with program milestones, cost, schedule, and risk profiles
• Collaborate across cross-functional teams-including cybersecurity, intelligence analysis, and R&D teams-to ensure cohesive and secure integration
• Support documentation, roadmap development, and briefings for leadership and stakeholders
• Apply deep knowledge of DoD acquisition principles and processes (DoD 5000.01, DoD 5000.02, system-of-systems engineering) to acquisition, research, development, test, evaluation, and sustainment activities across ISR platforms.
• Provide GEOINT engineering expertise in technology development, capability analysis, system integration, architecture development, and transition of advanced ISR technologies into operational systems.
• Conduct technical and mission analyses to evaluate operational requirements, develop system concepts, and perform trade-off studies on performance, feasibility, cost, risk, producibility, maintainability, and supportability.
• Review and assess system architectures, baselines, and specifications (ICDs, subsystem controls, avionics, communications, environmental/thermal management, radar/sensor technologies) for compliance, interoperability, and design feasibility.
• Support test and evaluation activities, including development of test requirements, reviewing integration test plans and procedures, analyzing test data, and participating in system, subsystem, and component testing.
• Develop and maintain program documentation, including SOOs, SOWs, SEPs, LCSPs, program plans, schedules, and technical presentations, while supporting cost and schedule assessments.
• Provide systems integration and engineering support across GEOINT and ISR domains, including radar phenomenology, sensor data link development, subsystem integration, architecture planning, and management of technical and programmatic requirements.

Required Qualifications

Required Qualifications

• Clearance: Active TS/SCI required
• Education:
  
  • Master's or Doctorate Degree in a related field and 20 years of experience in the respective technical / professional discipline being performed, 12 years of which must be in the DoD.
  • OR bachelor's degree in a related field and 25 years of experience in the respective technical/professional discipline being performed, 15 of which must be in the DoD.
  • the Contractor will have successfully completed an undergraduate degree with a major in engineering from a college or university with an Accreditation Board of Engineering and Technology (ABET) accredited engineering program(s) for the degree requirements of the position (e.g., electrical, mechanical, aerospace). Degrees in engineering technology are not considered to be qualifying for these positions.
• Experience:
  
  • Hands-on experience with MBSE frameworks, tools (e.g., Cameo, MagicDraw), and digital engineering practices
  • Experience designing and integrating systems in cloud or hybrid environments (e.g., AWS GovCloud, Azure Government, or private classified cloud solutions)
  • Proven success in planning or leading AI/ML or intelligent automation projects
• Skills:
  
  • Strong understanding of systems lifecycle processes including requirements definition, design, T&E, and sustainment
  • Knowledge of DoD acquisition strategy, architecture standards (e.g., DoDAF), and secure system design principles
  • Familiarity with AI/ML toolsets, data engineering workflows, and cloud orchestration techniques
  • Excellent written and oral communication skills, including the ability to brief technical and non-technical audiences