Lead the configuration management and product data management functions on a global scale throughout the product lifecycle. Ensure the integrity of engineering data, full traceability, effective change governance, component risk management, and the reliability of the product configuration along the product lifecycle.
Key responsibilities
Defining the organizational configuration management strategy and drive continuous improvement of processes, methodologies, and tools across the product lifecycle.
•Lead configuration management processes for complex products comprising hardware, electromechanics & software.
•Ensure the accuracy, integrity, and consistency of product data within PLM and ERP systems.
•Managing the lifecycle of part numbers and establishing organizational standards for product data management.
•Leading ECO/ECR processes and the release of engineering changes throughout the product lifecycle.
•Managing product and assembly revisions (Revision Control).
•Managing the Approved Parts List (APL) and Approved Vendor List (AVL) in collaboration with R&D, Procurement, Quality, and Supply Chain teams.
•Leading Change Control Boards (CCB) and coordinating across R&D, NPI, Manufacturing, Procurement, Quality, and Operations.
•Ensuring full traceability between product requirements, design, parts, documentation, and manufacturing releases.
•Conducting configuration audits to identify gaps and engineering risks.
Developing improvement and optimization initiatives within configuration management, engineering data, and product lifecycle processes.
•Defining KPI’s to monitor configuration data quality and product readiness for release.
•Managing component obsolescence using tools such as Silicon Expert—including risk monitoring, component availability analysis, identifying alternatives, and developing mitigation plans.
•Collaborating with R&D, Procurement, NPI, and Supply Chain teams to develop mitigation plans and identify alternatives for at-risk components.
•Establishing KPI’s to monitor BOM risk levels, component availability, and exposure to at-risk components.
•Developing reports and performance metrics regarding ECO’s
Requirements•Bachelor's degree in mechanical engineering/ industrial engineering & management.
•5+ years of experience in configuration control, product configuration management, or NPI engineering.
•Experience working with PLM systems (e.g., Agile PLM, Arena, etc.).
•Experience working with SiliconExpert.
•Experience working with Microsoft Dynamics 365 F&O- advantage
•In-depth familiarity with ECO processes, BOM management, and Product Lifecycle Management (PLM).
•Strong leadership skills, ability to manage multiple interfaces, and a broad systems-level perspective.
•High-level proficiency in English.
•Experience leading global, cross-organizational processes
Skills Required
- Bachelor's degree in mechanical engineering or industrial engineering and management
- 5+ years of experience in configuration control, product configuration management, or NPI engineering
- Experience working with PLM systems such as Agile PLM or Arena
- Experience working with SiliconExpert
- Experience working with Microsoft Dynamics 365 Finance and Operations
- In-depth familiarity with ECO processes, BOM management, and Product Lifecycle Management
- Strong leadership skills and ability to manage multiple interfaces
- Broad systems-level perspective
- High-level proficiency in English
- Experience leading global, cross-organizational processes
What We Do
Quantum Machines envisions a new technological age. A time when quantum computing revolutionizes entire industries, solves global problems, and drives unprecedented innovation. That’s why we made it our mission to build the Quantum Orchestration Platform (QOP): the platform to realize the full potential of quantum computing technologies at any scale and deliver the most advanced quantum capabilities to quantum system developers. Built by a world-class multidisciplinary team of quantum scientists and engineers, the QOP powers quantum breakthroughs and accelerates the path towards the new age of quantum computing
