Job Description

BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, enables the U.S. government to transform data into intelligence and provides engineering, integration and sustainment support for critical military platforms and systems. Intelligence and Security provides services and products to the Department of Defense, the government, federal law enforcement officials, and troops deployed around the world.
At BAE Systems, we promote a strong, collaborative culture and provide our employees with the tools, skills and training they need to succeed. We are all about trust, camaraderie and a shared ambition to lead the world in defense technologies and national security services. We offer a flexible work environment to support the balance in your life and keep you performing at your best. Be a part of a company that's part of the community; driven to improve our future and protect our freedom.

We are seeking a Senior Principal Engineer to serve as our Digital Transformation Lead, providing technical and strategic leadership for our modeling team's Model-Based Systems Engineering (MBSE) and Modeling and Simulation (M&S) work, and for our broader digital transformation and digital engineering initiatives. As Technical Lead, you will manage team workload, unblock engineers, and keep initiatives moving, while also owning integration across cross-discipline engineering work and ontology definition for our modeling ecosystems. You will drive enterprise-wide digital threading, traceability, and digital engineering strategy, and represent BAE Systems and our program sponsors at industry events, conferences, and symposiums at a strategic level.

Serve as technical and strategic lead for the modeling team, covering MBSE, M&S, digital transformation, and digital engineering initiatives
Manage team technical workload, set priorities, and unblock engineers to keep initiatives on track, consistent with Technical Lead responsibilities
Own integration across cross-discipline engineering work, including ontology definition for modeling ecosystems
Drive enterprise-wide digital threading, traceability, and digital engineering strategy
Lead a technical team spanning multiple levels, including senior and junior engineers, providing mentorship, technical direction, and career development
Represent BAE Systems and program sponsors at industry events, conferences, and symposiums at a strategic level, ensuring appropriate presence and visibility
Partner with vendors on solution architecting for modeling, simulation, and digital engineering toolchains
Work with cross-disciplinary teams, particularly in AI and data analytics, to integrate emerging capabilities into digital engineering workflows

Required Skills and Education

Current SECRET clearance
Bachelor's degree in Systems Engineering, Aerospace, Mechanical, Electrical Engineering, Computer Science, or related field and minimum 12 years of relevant experience (Master's degree with 10 years, or PhD with 8 years, also considered)
Demonstrated experience leading a technical team as a Tech Lead, including managing workload, unblocking engineers, and mentoring both senior and junior team members
Experience presenting at industry conferences, symposiums, or similar events, representing an organization or program at a strategic level
Experience working with vendors on solution architecting for engineering, modeling, or simulation tools
Hands-on experience with Ansys ModelCenter, MCRE, MBSE Plugin, and STK
Experience with mission and threat modeling
Experience with federated systems-of-models / federated digital engineering ecosystems, spanning multiple linked models and authoritative sources of truth
Experience managing large and complex SysML models
Experience integrating AI capabilities with SysML models
Highly experienced with Cameo Systems Modeler/Enterprise Architect
Familiarity with Cameo plugin development and scripting in Groovy
Experience building and leading the development of APIs and integrations between engineering tools
Demonstrated experience working with cross-disciplinary teams, particularly with AI and data analytics
Excellent written and verbal communication skills, including experience presenting to executive and sponsor-level stakeholders

About BAE Systems Intelligence & Security

BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference.

Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels.

This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Preferred Skills and Education

Master's or PhD in Systems Engineering, Aerospace, Mechanical, Electrical Engineering, Computer Science, or related field
INCOSE certification (CSEP or ESEP) or OMG Certified Systems Modeling Professional (OCSMP)
Experience with the DoD Digital Engineering Strategy and related digital engineering ecosystem concepts
Experience with additional MBSE/M&S tools (Rhapsody, Capella, or similar)
Experience with digital twin or digital thread implementations at an enterprise scale
Prior invited or keynote speaking experience at INCOSE, NDIA, AIAA, or similar industry symposiums
Experience supporting classified networks or programs
Experience defining or governing ontologies for large, multi-discipline engineering ecosystems

Typical Education and Experience

Typically a Bachelor's Degree and 8 years work experience or equivalent experience