Supervisor, Manufacturing

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Responsibilities

In charge Operation for new lines start up activities.; Lead shift coordinators across Cleaning, Sputter, Lube and Test to ensure smooth operations.; Review and prepare pass-down reports for incoming shifts.; Act as backup to the Operations Manager when required.; Conduct daily production meetings and deliver shift updates.; Ensure strict compliance with rules, regulations, and SOPs.; Plan and deploy manpower effectively to meet production needs, manage attendance and discipline, schedule overtime when required.; Assist the Production Manager in executing daily operations and achieving production targets.; Monitor machine utilization and line performance to meet output requirements.; Escalate issues proactively to relevant PICs and management.; Manage and clear over-WIP inventory, coordinate with Manufacturing Engineers on disposal of problematic lots.; Perform MESA transactions, WIP tracking, and meet PI Count audit with zero discrepancy.; Ensure compliance with IMS/RBA standards and maintain exemplary conduct.; Lead line audits and enforce 7S housekeeping practices.; Ensure products meet required quality, safety, and customer standards.; Participate in FMEA, 8D, and SPC activities.; Support cross-functional teams and take on additional operational responsibilities as needed.

Requirements

Diploma or Bachelor’s Degree in Engineering, Science, Industrial Engineering, Production Management, or related fields.; Minimum 5 years of experience in a high-volume, high-mix manufacturing environment, with at least 3 years in a supervisory role. (candidates with less experience may be considered based on job scope and training support).; Proficient in Microsoft Excel and general computer applications.

Nice to have

Experience in Lean Manufacturing or quality improvement projects is an advantage.