Engineering Manager

Our client is an American-based MNC headquartered in Silicon Valley. They have more than 13,000 employees worldwide. Currently looking for a Manager to oversee the Engineering department in their Mak Mandin facility.

JOB DESCRIPTION

• Lead the development, optimization, and sustainment of manufacturing
  processes to improve yield, throughput, cycle time, and cost performance
• Drive systematic identification and elimination of process bottlenecks, variability, and
  waste across wafer fabrication and/or assembly operations
• Champion Lean, Six Sigma, and structured problem-solving methodologies to enhance
  operational stability and scalability
• Oversee value stream optimization initiatives to improve end-to-end flow and
  manufacturing efficiency
• Establish and monitor KPIs related to yield, defect density, cycle time, equipment
  utilization, and cost of quality
• Utilize statistical and analytical tools (SPC, DOE, Gage R&R, Kappa, capability analysis)
  to validate process control and sustain improvements
• Translate complex production and quality data into actionable insights for senior
  leadership
• Partner with Manufacturing, Process Integration, Equipment Engineering, Quality, Supply
  Chain, and Product Engineering to align process capability with technology roadmaps and
  customer requirements
• Support new product introduction (NPI) and technology transfers by ensuring robust,
  repeatable, and scalable manufacturing processes
• Facilitate alignment between technical teams and business stakeholders to accelerate
  execution
• Ensure manufacturing processes comply with industry standards, safety regulations, and
  quality management systems
• Oversee documentation integrity, including SOPs, control plans, and process
  specifications
• Lead internal audits and sustain control mechanisms to maintain operational discipline
• Lead, coach, and develop a team of engineers and technical staff to strengthen analytical
  rigor and problem-solving capabilities
• Build organizational capability in Lean, Six Sigma, and statistical methodologies
• Drive a culture of accountability, continuous improvement, and data-based decision making
• Develop succession planning and technical leadership pipelines within the engineering
  organization