Quality Systems Architect Manager

• Define and govern end-to-end architecture for quality and metrology systems (in-line/off-line measurement, virtual assembly, analytics, visualization)
• Integrate metrology assets (CMM, scanners, robotic cells) with plant automation and enterprise data platforms
• Ensure solutions meet requirements for safety, cybersecurity, performance, and reliability across edge, on-prem, and cloud environments
• Lead adoption of advanced metrology, automation, analytics, and AI/ML to improve quality, launch performance, and cost
• Drive pilots/PoCs and transition successful solutions to scalable, production-ready platforms
• Serve as primary technical lead across ME, IT, Operations, and Engineering stakeholders
• Lead architecture reviews, drive alignment, and translate complex concepts into clear business impact
• Establish standards for integration, data models, traceability, and system performance
• Enable reusable platforms (APIs, services, toolkits) to reduce custom solutions and accelerate deployment
• Drive commonization across Body Manufacturing Engineering and global centers
• Support plant launches and major changes, ensuring systems are production-ready
• Lead root-cause analysis for systemic quality issues using data and telemetry
• Mentor team members in systems thinking and architecture best practices

• 7+ years in manufacturing, quality, metrology, or IT/OT (preferably ME Body / BIW)
• 2+ years of team leadership experience
• Hands-on experience with metrology tools (e.g., PolyWorks, GOM, Keyence, Dataloop) and hardware (CMM, scanners, robotics)
• Experience integrating shop-floor systems with MES, PLCs, and enterprise data platforms
• Proven ability to design distributed systems (APIs, data pipelines, event streaming)
• Strong understanding of Factory 4.0, IT/OT convergence, and industrial cybersecurity
• Demonstrated ability to lead cross-functional initiatives and influence at senior levels
• Strong communication, problem-solving, and program leadership skills
• Bachelor’s in Engineering, Computer Science, or related field

• Master’s degree in Engineering, Systems, or Computer Science
• Experience leading digital or quality transformation in high-volume manufacturing
• Background in AI/ML applied to metrology or inspection data
• Experience with cloud/data platforms and modern analytics architectures
• Familiarity with digital twins, virtual build, and variation simulation
• Exposure to global vehicle launches and cross-regional collaboration

Relocation benefits may be eligible