OEE & Productivity Specialist

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.

We are seeking a results-driven professional to lead initiatives that improve manufacturing productivity and optimize Overall Equipment Effectiveness (OEE). This role requires strong analytical skills, hands-on experience with industrial systems, and knowledge of Industry 4.0 technologies such as IoT, automation, and data analytics. The ideal candidate will bridge traditional manufacturing practices with digital transformation strategies to maximize efficiency and ROI.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Monitor, analyze, and improve OEE across production lines.
• Identify bottlenecks and implement productivity improvement measures.
• Deploy Industry 4.0 solutions (IoT sensors, AI-driven analytics, digital twins, MES/ERP integration).
• Collaborate with operations, engineering, and IT teams to drive smart manufacturing initiatives.
• Develop dashboards and reporting tools for real-time performance tracking.
• Train and support staff in adopting new technologies and lean practices.
• Lead continuous improvement projects aligned with company KPIs.

REQUIRED:

• Bachelor’s degree in Engineering, Manufacturing, Industrial Technology, or related field.
• Proven experience in OEE monitoring, productivity improvement, or lean manufacturing.

PREFERRED:

• Passion for digital transformation in manufacturing.
• Ability to balance technical rigor with practical implementation.
• Strong teamwork and leadership skills.

SKILLS:

• Familiarity with Industry 4.0 technologies (IoT, AI, robotics, cloud platforms, MES/ERP).
• Strong analytical and problem-solving skills with data-driven decision-making.
• Excellent communication and project management abilities.
• Experience with Six Sigma, TPM, or Lean methodologies is a plus.

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WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates:Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or emailcompliance@wdc.com.