Job Requirements
DOD, VA
Secret Polygraph not specified
Senior Level Career (10+ yrs experience)
Salary not specified
Join Premium to unlock estimated salaries 
Job Description
Model-Based Systems Engineer – ARMY
Location: Hybrid (Washington, DC Metro Area)
Level: Lead / Senior Subject Matter Expert
Employment Type: Part-Time
Clearance: Secret
Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment.
About the Role
The Decision Analysis and Model-Based Systems Engineering (MBSE) Lead provides senior technical leadership for an AI-enabled decision-support capability that helps defense engineering and acquisition organizations make faster, more defensible trade-study and program decisions. The Lead owns the analytical method behind every decision: the value model, the sensitivity method that shows exactly what would change a recommendation, integration with SysML v2 engineering models, and technical review of every decision package before it reaches a decision maker. This role suits a practitioner who has led real Army or DoD trade studies and wants to make decision analysis rigorous, reproducible and auditable at scale.
What You'll Do
Value Modeling & Flip-Point Method
Design the value model using multi-attribute value theory and value-focused thinking, with criteria weights elicited before options are scored to reduce anchoring.
Develop and maintain the flip-point method: for every weight, score, range, assumption and constraint, compute the break-even value at which the leading option changes.
Define the structure of a decision model, including objectives, options, criteria, constraints, assumptions, risks and bias checks, each with an owner, a pass/fail test and a review date.
Codify cognitive-bias checks (e.g., anchoring, confirmation, status quo, overconfidence, sunk cost, groupthink, optimism) as testable criteria and set the readiness thresholds a decision must meet before sign-off.
Specify the questions and checks that AI agents use to elicit and validate decision models, ensuring AI supports the analysis but never computes the decision.
SysML v2 & MBSE Integration
Lead integration of SysML v2 models through the Systems Modeling API, with UML/XMI as a fallback for legacy models.
Design the ground-vehicle domain ontology and knowledge graph (RDF/OWL with SHACL validation) that supplies controlled terms and relationships to the analysis.
Map requirements, parameters and constraints from engineering models to decision-model elements so every decision stays traceable to the engineering baseline.
Define how decision results flow back to MBSE tools (e.g., Cameo) and to product lifecycle management and enterprise systems.
Required Qualifications
Degree in Decision Analysis, Systems Engineering, Operations Research, or a closely related field.
Minimum 7 years of experience leading Army or DoD trade studies, Analyses of Alternatives (AoA), or milestone decision support.
Demonstrated hands-on MBSE experience with SysML in a tool such as Cameo or Capella.
Expert-level knowledge of multi-criteria decision analysis, including value modeling, weight elicitation and sensitivity analysis.
Strong technical writing and briefing skills, with the ability to defend a method and its results to senior leadership.
Relevant certification in AI, Systems engineering or software development.
Preferred Qualifications
10+ years of defense systems engineering or decision-analysis experience, including ground-vehicle programs.
Experience with SysML v2 and the Systems Modeling API.
Experience with knowledge graphs and semantic modeling (RDF, OWL, SHACL).
Experience with decision-analysis software or building decision-support tools; familiarity with AI/LLM-enabled workflows.
Familiarity with the DoD AI Ethical Principles and the NIST AI Risk Management Framework.
INCOSE CSEP or ESEP certification; active Secret clearance.
Status: Contingency – This work is contingent upon award.
Employment Type: Part-Time
Compensation: $120/hr
Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
Location: Hybrid (Washington, DC Metro Area)
Level: Lead / Senior Subject Matter Expert
Employment Type: Part-Time
Clearance: Secret
Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment.
About the Role
The Decision Analysis and Model-Based Systems Engineering (MBSE) Lead provides senior technical leadership for an AI-enabled decision-support capability that helps defense engineering and acquisition organizations make faster, more defensible trade-study and program decisions. The Lead owns the analytical method behind every decision: the value model, the sensitivity method that shows exactly what would change a recommendation, integration with SysML v2 engineering models, and technical review of every decision package before it reaches a decision maker. This role suits a practitioner who has led real Army or DoD trade studies and wants to make decision analysis rigorous, reproducible and auditable at scale.
What You'll Do
Value Modeling & Flip-Point Method
Design the value model using multi-attribute value theory and value-focused thinking, with criteria weights elicited before options are scored to reduce anchoring.
Develop and maintain the flip-point method: for every weight, score, range, assumption and constraint, compute the break-even value at which the leading option changes.
Define the structure of a decision model, including objectives, options, criteria, constraints, assumptions, risks and bias checks, each with an owner, a pass/fail test and a review date.
Codify cognitive-bias checks (e.g., anchoring, confirmation, status quo, overconfidence, sunk cost, groupthink, optimism) as testable criteria and set the readiness thresholds a decision must meet before sign-off.
Specify the questions and checks that AI agents use to elicit and validate decision models, ensuring AI supports the analysis but never computes the decision.
SysML v2 & MBSE Integration
Lead integration of SysML v2 models through the Systems Modeling API, with UML/XMI as a fallback for legacy models.
Design the ground-vehicle domain ontology and knowledge graph (RDF/OWL with SHACL validation) that supplies controlled terms and relationships to the analysis.
Map requirements, parameters and constraints from engineering models to decision-model elements so every decision stays traceable to the engineering baseline.
Define how decision results flow back to MBSE tools (e.g., Cameo) and to product lifecycle management and enterprise systems.
Required Qualifications
Degree in Decision Analysis, Systems Engineering, Operations Research, or a closely related field.
Minimum 7 years of experience leading Army or DoD trade studies, Analyses of Alternatives (AoA), or milestone decision support.
Demonstrated hands-on MBSE experience with SysML in a tool such as Cameo or Capella.
Expert-level knowledge of multi-criteria decision analysis, including value modeling, weight elicitation and sensitivity analysis.
Strong technical writing and briefing skills, with the ability to defend a method and its results to senior leadership.
Relevant certification in AI, Systems engineering or software development.
Preferred Qualifications
10+ years of defense systems engineering or decision-analysis experience, including ground-vehicle programs.
Experience with SysML v2 and the Systems Modeling API.
Experience with knowledge graphs and semantic modeling (RDF, OWL, SHACL).
Experience with decision-analysis software or building decision-support tools; familiarity with AI/LLM-enabled workflows.
Familiarity with the DoD AI Ethical Principles and the NIST AI Risk Management Framework.
INCOSE CSEP or ESEP certification; active Secret clearance.
Status: Contingency – This work is contingent upon award.
Employment Type: Part-Time
Compensation: $120/hr
Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
group id: 91175996