Global Spare Parts Planner & Inventory Optimizer

Lam Research Salzburg GmbH; Batu Kawan; Hybrid; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

On-site Flex

Virtual Flex

Job summary

Lam Research in Batu Kawan, Penang, Malaysia, seeks a Global Operations Planner to ensure replenishment spare parts availability across a worldwide network. You’ll lead end-to-end planning for assigned commodities, analyze demand, optimize inventory, and collaborate with Supply Chain, Manufacturing, Procurement, and Customer Support to sustain service levels and continuous improvement.

The role emphasizes data-driven decision making, RCCA, and driving cross-functional alignment in a fast-paced

Qualifications

• 6–9 years of experience in planning for spare parts or MRP-based environments.
• Engineering degree with APICS CSCP/CPIM preferred.

Responsibilities

• Ensure availability of replenishment spare parts and upgrade kits across a global network.
• Lead end-to-end planning and resupply of material for assigned commodity portfolios.
• Analyze demand signals and installed base trends to develop robust inventory plans.
• Implement replenishment strategies and inventory policies to balance service levels and costs.
• Lead RCCA analyses and drive sustainable corrective actions.
• Present planning performance and risks to management.

Skills

Service parts planning

Inventory management

Forecasting

Material replenishment

Data-driven decision making

Cross-functional collaboration

Education

Engineering degree in Industrial Production/Mechanical (APICS CSCP/CPIM preferred)

Tools

SPM

Job description

Lam Research in Batu Kawan, Penang, Malaysia, seeks a Global Operations Planner to ensure replenishment spare parts availability across a worldwide network. You’ll lead end-to-end planning for assigned commodities, analyze demand, optimize inventory, and collaborate with Supply Chain, Manufacturing, Procurement, and Customer Support to sustain service levels and continuous improvement.

The role emphasizes data-driven decision making, RCCA, and driving cross-functional alignment in a fast-paced