Director, Global Manufacturing Excellence

Excelitas Technologies Singapore Pte. Ltd.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading company in high-volume manufacturing is seeking a Continuous Improvement Leader to drive strategies across the Asia region. The role includes managing a community of engineers, improving production processes, and utilizing advanced analytics tools. Candidates should have extensive experience in engineering and a track record in Lean Six Sigma methodologies.

Qualifications

• 8-15 years in engineering in high-volume manufacturing.
• Expertise in lean six sigma and automation engineering.
• Proficient in statistical analysis and data visualization.

Responsibilities

• Lead continuous improvement programs across the Asia region.
• Develop strategies and manage performance of the CI community.
• Provide analytics and support for manufacturing automation projects.

Skills

Lean Six Sigma

Data Visualization

Automation Engineering

Process Engineering

Statistical Analysis

Manufacturing Excellence

Cloud Computing

Supply Planning Methodologies

Database Proficiency

Education

BS/MS in Science/Engineering

Tools

Excel

MS VBA

Python

JMP

Minitab

SQL

SAP

AWS

MS Azure

Power BI

Job description

Job Description:

• Lead continuous improvement program for Asia region. Drive Lean, Six Sigma and Theory of Constraints transformation, capable of utilizing the relevant toolboxes, including but not limited to: 6S, Value Stream Mapping, and Drum-buffer-rope.

• Develop continuous improvement strategies, deliver training to and manage the performance of the CI community across sites.

• Formulate, implement, and harmonize our best manufacturing excellence practices (systems and processes; hardware, software, and analytics) across the global Excelitas factory network to improve our factory’s productivity.

• Be a strong IR4.0 technical, leadership, and program management conduit between corporate operations, IT, and our global sites.

• Provide support for advanced manufacturing and technology transfer strategic initiatives.

• Provide business/operations/engineering data analytics and statistical analysis support to lean six sigma CI and advanced manufacturing projects.

• Improve, streamline, and automate manufacturing processes and systems of measure, which include but not limited to MDE, SCADA, MES, APC, and SPC systems.

• Work on advanced manufacturing projects with local engineering teams at our factories and with external suppliers. Focus on acquiring cost-optimal automation solutions.

• Working with IT and operations, both corporate and site-level, contribute to overall architectural design of various digitization platforms.

• Working on scaling best manufacturing practices across the factory network including demand supply planning, capacity modelling, and yield methodologies.

Job Requirements:

• BS/MS in science/engineering with a demonstrated academic record of excellence.

• At least 8 to 15 years of solid engineering experience in a high-volume manufacturing environment, especially in process engineering (unit process or integration), equipment engineering, and/or hardware/software automation engineering, demand-supply planning, industrial engineering, preferably in the semiconductor/photonics industry.

• Proficient in supply and demand planning methodologies including factory capacity modelling and constrained-based optimization. Familiar with SIOP platforms such as Kinaxis, Blue Yonder, Anaplan, etc.

• Proficient in the use of Excel, MS VBA, JMP, Minitab, R, RPA/UIPath and/or Python to automate complex analysis; comfortable with script writing.

• Proficient in Database, ERP/MES system and APIs: SQL, SAP and interfaces between ERP/MES and other applications.

• Proficient in cloud computing and different analytical/automation platforms: AWS, MS Azure, MS Power App, Power Automate and Power BI.

• Demonstrated track record to summarize complex data sets for technical and non-technical audiences including high proficiency in data visualization.

• Demonstrated track record to rapidly analyse and solve complex engineering issues by pursuing a focused solution path with a clear understanding of the point of diminishing returns.

• Expertise in lean six sigma/theory of constraints continuous improvement projects in a high-volume manufacturing environment; embodies the culture and lives by it.

• Proficient in statistical analysis and data visualization towards problem solving and influencing clear, objective, decision making.