Senior Kinaxis Planner: LVHM & S&OP Excellence

Ultra Clean Technology; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Ultra Clean Technology (UCT) in Singapore is seeking an onsite Planner IV to advance APS via Kinaxis Maestro in a LVHM environment. You will lead demand and supply planning, drive inventory optimization, and own CTB readiness with cross-functional teams.

You will partner with Engineering, Procurement, and Manufacturing to address capacity, changes, and schedules while enabling APS improvements and data-driven decisions.

Qualifications

• Bachelor's degree in Industrial Engineering, Supply Chain, or related field.
• 5+ years in production planning, supply chain, or manufacturing operations in high-tech or semiconductor environments.
• ERP proficiency (SAP or Oracle) and advanced Excel skills.
• Experience driving S&OP/IBP governance and cross-functional alignment.

Responsibilities

• Own Kinaxis RapidResponse scenarios, alerts, dashboards, and parameter governance.
• Lead demand planning inputs and consensus cycles; manage supply plans across complex BOMs.
• Drive inventory optimization and policy governance; align CTB readiness with production.
• Maintain accurate production schedules and collaborate with Engineering, Procurement and Manufacturing to resolve risks.
• Prepare inputs for S&OP/IBP reviews and drive KPI governance and continuous improvement.

Skills

Kinaxis RapidResponse

Demand planning

Supply planning

Inventory optimization

Excel

ERP

Education

Bachelor's degree in Industrial Engineering, Supply Chain, or related field

Tools

SAP

Oracle

Kinaxis Maestro

Excel

Job description

Ultra Clean Technology (UCT) in Singapore is seeking an onsite Planner IV to advance APS via Kinaxis Maestro in a LVHM environment. You will lead demand and supply planning, drive inventory optimization, and own CTB readiness with cross-functional teams.

You will partner with Engineering, Procurement, and Manufacturing to address capacity, changes, and schedules while enabling APS improvements and data-driven decisions.