Electronics Commodity Lead
Pubblicato il 20-08-2026 - Macchinari e impiantistica in Italia
Electronics Commodity Lead & Supplier Development Engineer Scopra di più su questo ruolo leggendo le informazioni qui sotto, quindi invii la sua candidatura per essere preso/a in considerazione. Manufacturing Atlas Copco Italy PADERNO DUGNANO As a Electronics Commodity Lead & Supplier Development Engineer, your mission is to lead the Electronics commodity sourcing strategy and develop a competitive, resilient and future-ready supplier base. Working closely with R&D;, Industrialization, Quality, Production and Supply Chain, you ensure supplier readiness, cost competitiveness, component availability and technology alignment to support business growth, new product introductions and the company's evolving electronics-driven portfolio. You will report to Sourcing Manager. You will: Define and support the implementation of sourcing strategies for the Electronics commodity. Develop and manage suppliers for electronic components, PCB assemblies, EMS providers, power electronics, sensors, connectivity solutions and related technologies.
Drive supplier development initiatives focused on quality, capacity, manufacturing robustness, delivery performance and continuous improvement. Support new product introductions by ensuring supplier readiness, component availability and industrial feasibility. Collaborate closely with R&D; Hardware, Industrialization and Quality teams to evaluate technical solutions and supplier capabilities. Identify and implement cost reduction opportunities through should-cost analysis, value engineering and supplier collaboration. Support lifecycle management activities, including EOL monitoring, alternative sourcing strategies and continuity planning. Lead supplier performance reviews and development plans for strategic electronics suppliers. Identify emerging technologies, suppliers and market trends relevant to future product roadmaps. Analyze sourcing and supply chain data independently and provide actionable recommendations for optimization and risk mi