Staff Manufacturing Engineer (Operation Material & Cost Engineering) job opportunity at Western Digital.

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Date2026-04-21T15:15:35.693Z bot
Western Digital Staff Manufacturing Engineer (Operation Material & Cost Engineering)
Experience: General
Pattern: Full-time
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loacation Pasir Gudang, Johor, Malaysia
loacation Pasir Gudang, ..........Malaysia
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Job DescriptionPosition OverviewWe are seeking a strategic Operation/Production Material & Cost Engineer to lead comprehensive OSRM (Operating Supply & Raw Material) and spare parts management initiatives. This role combines financial acumen, operational excellence, and digital innovation to drive significant cost optimization while ensuring seamless production continuity. You will spearhead transformational projects that leverage AI and automation to enhance inventory efficiency, cost transparency, and decision-making across the organization.Key Responsibilities1. Strategic OSRM & Spare Parts Cost ManagementOwn end-to-end OSRM and spare parts cost planning, monitoring, and control to achieve or exceed annual financial targets.Conduct comprehensive cost driver analysis and variance investigations; identify and execute high-impact cost reduction and optimization initiatives.Lead strategic OSRM cost improvement projects, including consumption reduction, supplier rationalization, and lifecycle cost optimization.2. Demand, Supply & Inventory PlanningDevelop and manage integrated OSRM demand and supply plans aligned with production requirements and operational capacity.Oversee procurement and distribution of production cleanroom consumables and OSRM to ensure uninterrupted operational continuity.Manage company spare parts inventory strategically, including stock profiling, safety stock optimization, and inventory location management.Control inventory aging and excess materials to maximize working capital efficiency and operational agility.3. Inventory Management Systems & Data GovernanceEnsure data integrity, accuracy, and reliability across the Spare Parts Inventory Management System (SPIMS).Develop and maintain comprehensive inventory monitoring dashboards, KPIs, and analytical reports tracking aging, usage patterns, and cost trends.Champion SPIMS long-term enhancement initiatives, including system optimization, data governance frameworks, and process automation.Oversee Store 5S implementation and safety compliance standards across all SPIMS operations.4. Digital Transformation & AI-Enabled InnovationDrive AI-enabled and digital transformation initiatives across OSRM and SPIMS planning, inventory management, and cost control functions.Identify and implement advanced solutions including:Predictive usage forecasting and demand sensing algorithmsAutomated replenishment and inventory optimization systemsReal-time digital dashboards for OSRM cost and KPI monitoringAdvanced data analytics for non-moving inventory, aging material, and lifecycle cost analysisCollaborate with IT, Digital Transformation, and Engineering teams to design, deploy, and sustain automated workflows and AI-driven decision support tools.Continuously enhance planning accuracy, response time, and cost transparency through process automation and digitalization.5. Operational Governance & Performance ManagementConduct regular OSRM usage and KPI reviews, compile performance data, and monitor key operational metrics.Establish and maintain robust monitoring systems for critical OSRM used in production operations.Supervise technical teams and ensure effective execution of daily OSRM and SPIMS operations.Support production teams on used spare part scheduling, waste handling, and scrap disposal in compliance with SPIMS requirements.6. Cross-Functional Leadership & CollaborationPartner strategically with Production, Warehouse, Inventory Control, and Procurement teams on OSRM initiatives including RTV management, on-hold materials, aging inventory, on-time issuance, staging area optimization, and chemical transfer scheduling.Collaborate closely with Process Engineering, NPI, and Procurement on new material introduction for mass production, usage algorithm verification, and implementation timelines.Lead non-moving parts disposition planning with Equipment teams using SPIMS data analytics.Support tooling and logistics improvement projects that enhance production operational efficiency.

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