- Play a key role in driving smart manufacturing, AI, and data‑driven decision
- Lead impactful, end‑to‑end analytics initiatives with visibility
About Our Client
The client is a global leader in advanced memory and storage technology, delivering innovations that power data‑intensive applications such as artificial intelligence, cloud computing, and next‑generation electronics. With manufacturing operations worldwide, the organisation combines deep engineering expertise with large‑scale production excellence.
The Smart Manufacturing and AI function operates at the intersection of process engineering, data science, and technology innovation, focusing on improving output performance, capital efficiency, and operational harmonisation across global fabs.
Job Description
- Work closely with business stakeholders and engineering teams to identify and evaluate opportunities to enhance wafer output and manufacturing efficiency
- Extract, cleanse, and analyse complex manufacturing data to support AI‑ and machine learning‑driven initiatives
- Partner with data science teams to build models and translate them into user‑friendly, production‑ready applications
- Define end‑to‑end business solutions and develop proposals for data‑led project implementation
- Architect, integrate, and scale solutions for deployment across global manufacturing environments
- Provide process and functional expertise to support initiatives aimed at improving wafer movement, WPD, and overall output
The Successful Applicant
- Degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience
- Strong analytical mindset with the ability to approach problems creatively and systematically
- Background or exposure in Process Engineering, Industrial Engineering, or Product Integration is a strong advantage
- Demonstrated ability to convert domain and process knowledge into effective, scalable solutions
- Strategic, well‑organised, and adaptable in fast‑moving environments
What's on Offer
- Competitive compensation and benefits package
- Opportunity to lead high‑impact smart manufacturing and AI initiatives
- Exposure to large‑scale, global manufacturing environments
- Collaborative, inclusive, and innovation‑focused culture
- Long‑term career growth within a world‑class technology organisation
Contact
Lydia Chen (Lic No: R22108104 / EA no: 18C9065)
Quote job ref
JN-042026-6992134
Phone number
+65 6416 9829
Michael Page (Personnel) Pte Ltd | Registration No.201736642C
