IT Modeling and Simulation SME

TENICA and Associates LLC; Chantilly; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

A leading organization is seeking a Modeling and Simulation SME to develop strategies and provide critical support for IT programs. The role involves developing models, conducting analyses, and delivering training on simulation methodologies. Join a team that values collaboration and innovation in a dynamic environment.

Qualifications

• Expertise in modeling and simulation techniques required.
• Experience with modeling and simulation tools preferred.
• Strong analytical and problem-solving skills.

Responsabilités

• Develop and implement a modeling and simulation strategy.
• Conduct in-depth analysis and evaluations using simulation tools.
• Provide training programs on simulation concepts and tools.

Connaissances

Modeling and Simulation

Technical Expertise

Analysis

Collaboration

Training and Education

Description du poste

We believe that every person, given the opportunity and the tools, is capable of achieving great things. Our team members focus on our customers and assisting them achieve their mission and goals. Our leadership nurtures our team’s potential by treating each employee with honesty, integrity, respect, dignity, compassion and fairness.

And we’re looking for motivated people who share those values!

Position Title: Modeling and Simulation SME
Clearance: TS/SCI

Position Description: As a Modeling and Simulation SME, your role is instrumental in providing critical support to IT programs. This multifaceted role entails various tasks, including:

1. Modeling and Simulation Strategy: Develop and implement a comprehensive modeling and simulation strategy that aligns with the organization's goals. Identify opportunities to leverage modeling and simulation for decision support, training, analysis, and research.
2. Technical Expertise: Serve as the go-to resource for all matters related to modeling and simulation. Stay up to date with industry best practices, emerging technologies, and advancements in the field. Apply this knowledge to inform strategic decisions.
3. Model Development: Lead the development of sophisticated models and simulations or Model-Based Systems Engineering (MBSE) tailored to specific organizational needs. Ensure these models accurately represent real-world systems and phenomena.
4. Analysis and Evaluation: Conduct in-depth analyses using modeling and simulation tools to evaluate scenarios, systems, and processes. Provide insights and recommendations based on simulation outcomes to inform decision-makers.
5. Simulation Integration: Collaborate with cross-functional teams to integrate modeling and simulation into various projects, programs, and training initiatives. Ensure seamless integration and alignment with organizational goals.
6. Training and Education: Develop and deliver training programs to educate staff and stakeholders on modeling and simulation concepts, tools, and methodologies. Foster a culture of simulation literacy within the organization.
7. Research and Innovation: Engage in research and development activities to enhance modeling and simulation capabilities. Identify and implement innovative techniques and technologies to improve simulation accuracy and efficiency.
8. Quality Assurance: Establish and maintain quality assurance processes for modeling and simulation efforts. Ensure that models are validated, verified, and meet predefined standards for accuracy and reliability.
9. Stakeholder Collaboration: Collaborate closely with stakeholders, including project managers, engineers, analysts, and decision-makers, to identify modeling and simulation requirements and objectives. Translate these requirements into actionable simulation projects.
10. Documentation and Reporting: Prepare clear and comprehensive reports, documentation, and presentations summarizing modeling and simulation results, methodologies, and recommendations. Communicate findings effectively to both technical and non-technical audiences.
11. Continuous Improvement: Continuously assess and refine modeling and simulation processes and methodologies. Seek feedback and lessons learned to drive improvements.
12. Compliance and Security: Ensure that modeling and simulation activities comply with relevant regulations, security protocols, and ethical standards. Safeguard sensitive data and intellectual property.