Senior Process Excellence & Automation Leader

Renesaselectronics; Bayan Lepas; On-site; MYR 180,000 - 280,000; Full time

Job summary

Renesas is seeking an experienced Process Engineering Manager in Penang to lead Operational Excellence and automation, shaping a data‑driven, self‑correcting manufacturing environment. You will own yield, cycle time, and cost improvements across lines, while driving AI/ML, real‑time dashboards, and adaptive SPC across the site.

You will build the business case for automation, manage a CAPEX budget, and mentor a team of engineers toward Industry 4.0 maturity, collaborating with IT and software

Qualifications

• Bachelor's degree in Industrial, Manufacturing, Electrical & Electronics, Mechanical, or Chemical Engineering; Master's degree is a plus.
• 8+ years of process engineering experience in semiconductor or electronics manufacturing, with at least 3 years in a managerial capacity.
• Proven track record leading Lean Six Sigma or Operational Excellence programs with measurable yield, cost, or throughput improvements.
• Experience leading automation or Industry 4.0 projects from business case development through implementation and sustained adoption.
• Strong SPC, DOE, and process capability (Cpk) analysis skills.
• Experience managing a process engineering or automation CAPEX budget.
• Working knowledge of quality systems such as ISO 9001, IATF 16949, or equivalent, as they apply to process control and change management.

Responsibilities

• Lead the process engineering team driving yield improvement, cycle time reduction, and cost-per-unit optimization.
• Own the site's Operational Excellence roadmap, including Lean, Six Sigma, and TPM, setting targets and tracking OEE, first-pass yield, and scrap reduction.
• Drive the automation strategy by identifying, justifying, and implementing automation and robotics projects that reduce manual intervention and improve process consistency.
• Lead in-house development of process engineering systems and tools, including data pipelines, real‑time dashboards, and automated reporting for faster and more reliable decision‑making.
• Champion AI and machine learning solution development for manufacturing, including ML‑based yield prediction, computer‑vision defect detection, and anomaly detection, partnering with Data Science and IT teams to deploy solutions into production.
• Own the roadmap for embedding AI/ML into process control through adaptive SPC limits, predictive quality alerts, and early excursion detection to enable automated, model‑driven decision‑making.
• Partner with software and IT teams to architect scalable data infrastructure, including MES and data lake integration, supporting automation, analytics, and AI/ML initiatives.
• Lead Industry 4.0 and smart manufacturing initiatives, including MES integration, real‑time SPC, predictive analytics, and IIoT sensor deployment.
• Collaborate with Equipment, Maintenance, Quality, and Manufacturing teams to resolve yield and quality excursions using structured problem‑solving methodologies such as 8D, DMAIC, and FMEA.
• Own process qualification and control plans for new product introduction (NPI) and process change management.
• Build business cases, including ROI and payback analysis, for automation, system development, and AI/ML investments while managing the process engineering CAPEX budget.
• Establish and maintain Statistical Process Control (SPC) systems and process capability (Cpk) targets across critical process steps.
• Lead, coach, and develop a team of process engineers while building data science, software, and AI/ML literacy within the organization and strengthening succession readiness.
• Benchmark industry best practices and lead cross‑site knowledge sharing on Operational Excellence, automation, and AI/ML applications in manufacturing.
• Present Operational Excellence, automation, and AI/ML roadmap progress to site and regional leadership.

Skills

Lean Six Sigma

Automation strategy

AI/ML in manufacturing

Data pipelines

Real-time dashboards

Education

Bachelor's degree in engineering

Master's degree preferred

Tools

MES

SCADA

IIoT platforms

Job description

Renesas is seeking an experienced Process Engineering Manager in Penang to lead Operational Excellence and automation, shaping a data‑driven, self‑correcting manufacturing environment. You will own yield, cycle time, and cost improvements across lines, while driving AI/ML, real‑time dashboards, and adaptive SPC across the site.

You will build the business case for automation, manage a CAPEX budget, and mentor a team of engineers toward Industry 4.0 maturity, collaborating with IT and software