Model Based Systems Engineer

Job Number: R0237349 The Opportunity: Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security? You understand your customer's environment and objectives. Your ability to translate real-world needs into executable solutions makes you an integral part of delivering customer-focused engineering products. As a member of our team, you have the chance to support the advancement the Department of Defense's mission. Join our team and help turn requirements into accomplishments that drive change. Responsibilities Develop practices and standards. Recommend common modeling framework and required model elements and diagrams to ensure fidelity. Approve model taxonomy and libraries for consistency. Develop data tagging and model security marking. Develop model discoverability and cataloging, MBSE modeling and data guidance best practices. Review existing DoD, DON, or NAVSEA-level guidance for direction on minimum system model standards. A data: Augment DoD, DON, or NAVSEA-level guidance with industry best practices. Select best-fit model taxonomy and release PEO guidance. Develop data tagging and security marking process and procedure for system models. Establish process and guidance on model discoverability and model catalog. Recommend a common model framework, necessary model elements, taxonomy and libraries. Provide guidance on model data tagging, security marking, discoverability, cataloging, and best practices. Join us. The world can't wait. You Have 5+ years of experience in applying model-based systems engineering through development of system models for defense or aerospace programs 5+ years of experience with using SysML 2+ years of experience in applying metrics suites, custom profiles, and validation rules to system models Ability to develop and apply modeling standards and best practices Secret clearance Bachelor's degree in an Engineering, Science, or Technology field CSMP Level 2 or OCSMP Model Builder- Intermediate Certification Nice If You Have Experience with using the Unified Architecture Framework (UAF) Possession of strong oral and written communication skills Master's degree in an Engineering, Science, or Technology field INCOSE ASEP Certification OCSMP Model Builder- Advanced Certification Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr Booz Allen Hamilton