Operations Research Systems Analyst – SME

Overview

MTSI is seeking an Operations Research Systems Analyst SME to support mission-critical programs through the application of advanced operational research methodologies, mission systems engineering, and digital ecosystem expertise. The ideal candidate will excel at analyzing complex defense systems, integrating data-driven solutions, and optimizing mission-critical digital frameworks to enhance agility, interoperability, and operational resilience across multi-domain environments.

This role combines quantitative analysis, system architecture optimization, and mission-focused engineering, enabling secure and scalable systems that drive digital transformation within defense operations. You will collaborate with cross-functional teams to deliver actionable results, influencing key decisions and empowering mission success for warfighters and stakeholders alike.

Responsibilities

Data-Driven Analysis and Decision Support:

• Apply Operations Research (OR) methods to conduct trade studies, quantitative analyses, and sensitivity assessments for mission-critical systems.
• Develop models, simulations, and frameworks to support dynamic decision-making across systems-of-systems architectures.
• Analyze operational performance metrics, identify mission gaps, and recommend solutions for digital workflows and mission systems integration.
  
  

Mission Systems Engineering And Digital Ecosystem Optimization

• Drive mission systems engineering initiatives, ensuring seamless integration across digital solutions within multi-domain operations.
• Architect and refine digital ecosystem frameworks, enabling secure data exchange, enhanced collaboration, and interoperability across legacy and modern systems.
• Shape architecture solutions leveraging emerging technologies, including cloud environments, edge computing, AI/ML, and IoT to empower digital warfighter capabilities.
• Collaborate with technical teams to implement systems aligned with operational requirements, CONOPS, and multi-domain engagement strategies.
  
  

Technical Innovation For Complex Mission Challenges

• Build scalable models for mission system modernization, delivering results that enhance resiliency, cybersecurity, and operational agility.
• Integrate advanced data visualization tools (e.g., Tableau, Power BI) and analytical software (e.g., Python, SQL, MATLAB) to produce key insights for stakeholders.
• Optimize mission-critical tools and processes to identify risks, quantify outcomes, and guide technology adoption strategies across warfighter ecosystems.
• Develop predictive analyses and simulation models to assess future mission requirements and capabilities.
  
  

Collaboration And Stakeholder Engagement

• Work closely with cross-functional engineering, program management, and government leadership teams to align solutions with operational objectives.
• Provide actionable insights through technical briefs, reports, and presentations for leadership and mission stakeholders.
• Assist in developing mission-focused digital solutions by facilitating collaboration across technical and operational teams, ensuring alignment with customer goals.
  
  

Required Skills

• 10 years of experience in operations research, systems analysis, or systems engineering with a focus on mission-critical systems and architectures.
• Expertise in developing models, simulations, and decision frameworks to optimize mission systems and digital ecosystem integrations.
• Strong knowledge of mission systems engineering principles, including data-driven optimization, workflow analysis, and operational risk assessments.
• Proficiency with tools such as Python, SQL, MATLAB, Tableau, or Power BI for quantitative analysis and data visualization.
• Ability to bridge technical and operational disciplines to design systems supporting multi-domain operations and digital transformation.
• Demonstrated ability to work in cross-functional teams and communicate complex analyses to technical and non-technical audiences clearly.
  
  

Desired Skills

• Familiarity with digital ecosystems leveraging AI/ML, IoT, cloud computing, and secure architectures for defense systems.
• Strong knowledge of CONOPS (Concept of Operations) and CONEMP (Concept of Employment) frameworks.
• Experience in risk analysis, performance diagnostics, or system optimization methods for multi-domain operations.
• Advanced degree preferred in Operations Research, Systems Engineering, Applied Mathematics, or related field.
  
  

Educational Requirements

• Bachelor’s degree in Operations Research, Systems Engineering, Applied Mathematics, or related technical discipline required.
• Master’s degree strongly preferred.
  
  

Location: Flexible, with priority posting in Ohio (OH), Virginia (VA), and Alabama (AL).

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