Own the end-to-end target architecture for a large PLM modernization at a major Aerospace & Defense OEM, driving integration, AI-readiness, and digital continuity across engineering, manufacturing, and certification ecosystems.
Locations (2)
Seattle, Washington, United States
Bellevue, Washington, United States
Compensation
The base compensation range for this role in the posted location is $ 117,930 - $ 223,591
Responsibilities
Define and govern the target-state PLM architecture centered on Siemens Teamcenter
Design and maintain an end-to-end digital thread ensuring traceability and data continuity
Architect an AI-powered, agentic-ready PLM ecosystem through open APIs and structured data accessibility
Establish the AI-Powered PLM strategy and roadmap
Define the enterprise integration strategy for seamless interoperability
Lead the application of Model-Based System Architecting (MBSA), Model-Based Systems Engineering (MBSE), Architecture Analysis, and Digital Engineering methods to develop, evaluate, and evolve system architectures that enable informed engineering, acquisition, and investment decisions.
Compensation
$121,200 - $151,500 - $181,800 Annual
Responsibilities
Support government sponsors in architecting, analyzing, and advancing complex mission and enterprise systems
Translate mission needs into integrated architectural solutions, engineering analyses, digital engineering artifacts, and actionable recommendations
Apply systems engineering, model-based systems architecting, and architecture analysis principles across the system lifecycle
Develop and maintain operational, functional, logical, physical, and enterprise architecture products
Perform architecture analyses, trade studies, mission engineering assessments, and capability gap analyses
Lead PLM systems engineering for the Strategic Deterrent Systems division, owning digital thread strategy, roadmap, and integration across engineering, manufacturing, and sustainment.
Lead Systems Engineer to support government sponsors in architecting, analyzing, and advancing complex mission and enterprise systems across evolving national security environments.
Compensation
$146,400 - $183,000 - $219,600 Annual
Responsibilities
Lead the application of Model-Based System Architecting (MBSA), Model-Based Systems Engineering (MBSE), Architecture Analysis, and Digital Engineering methods to develop, evaluate, and evolve system architectures that enable informed engineering, acquisition, and investment decisions.
Apply systems engineering, model-based system architecting, and architecture analysis principles across the system lifecycle, including mission analysis, concept development, architecture definition, requirements development, integration planning, verification, validation, deployment planning, and technical transition.
Lead the development and evolution of operational, functional, logical, physical, and enterprise architectures that capture stakeholder needs, mission objectives, system behaviors, interfaces, dependencies, and implementation considerations for complex systems and systems-of-systems.
Apply MBSE, MBSA, and Digital Engineering methods to develop and maintain authoritative digital engineering artifacts that establish traceability across stakeholder needs, operational concepts, system architectures, requirements, interfaces, constraints, analyses, and verification activities within an integrated digital thread.
The role focuses on partnering with business and technology stakeholders to craft and execute transformation strategies in Cognitive Manufacturing, focusing on Industry 4.0, AI/ML, GenAI, IoT, and smart factories.
Responsibilities
Lead defined workstreams at Manufacturing clients to address pressing industry issues related to updating and transforming manufacturing facilities and value chains.
Analyze and improve processes across customer experience, R&D, NPI, product industrialization, parts reuse, engineering change, end-to-end supply chain, manufacturing, distribution, quality, maintenance, service, sales, HR, finance.
Facilitate stakeholder interviews, current-state assessments, process walkthroughs, design workshops and future-state working sessions across business, engineering, manufacturing, quality, supply chain, IT, OT and service teams.
Document current-state processes, root causes, pain points, data flows, business rules, system dependencies, manual workarounds and value leakage across the manufacturing value chain.
Develop future-state process concepts and capability maps that connect NPI, engineering change, parts reuse, EBOM-MBOM-SBOM alignment, process planning, production execution, quality, maintenance, logistics and service feedback.
The Manager, Engineering Functional Excellence (EFE) is responsible for leading an engineering Team who will execute strategic enterprise-wide initiatives to improve engineering productivity, standardization, digital transformation, portfolio execution, and capability development.
Responsibilities
Define and execute the Engineering Functional Excellence strategy aligned with business and engineering objectives.
Establish governance models, performance metrics, and operational frameworks to drive engineering excellence.
Partner with engineering and functional leaders to identify and prioritize transformation initiatives.
Lead enterprise Program Management Excellence initiatives, including portfolio governance, roadmap planning, and project execution.
Oversee ProPM strategy, enhancements, integrations, adoption, and portfolio analytics.
Lead Agile Release Trains and coordinate multi-train integration efforts supporting mission-critical solutions for U.S. defense programs.
Compensation
The salary range for this role is 107,500 USD - 204,500 USD.
Responsibilities
Serve as a Principal Release Train Engineer and/or Solution Train Engineer for complex, multi-team Agile trains
Lead development, communication, and management of Agile roadmaps across teams, trains, and solution-level stakeholders
Plan, coordinate, and facilitate Agile Events including Increment Planning, Roadmapping, Retrospectives, Program Performance Reviews, and Risk Management Reviews
Identify, remove, and mitigate cross-team and cross-train impediments that impact cost, schedule, integration, or technical performance
Work closely with engineering, product, and program leadership to ensure roadmaps remain accurate, achievable, and aligned with customer and mission needs
Conduct architecture analyses, trade studies, mission engineering assessments, and capability gap analyses to evaluate alternative architectures, emerging technologies, operational concepts, and system designs using both qualitative and quantitative techniques.
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