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Operations Research Systems Analyst – SME
Arlington, VA, USPosted 3 months ago
remote
Job Description
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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