Manufacturing Execution Systems Sr. Analyst; MES

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Location:

Bloomington, MN, US

Posting Date:
Mar 2, 2026

Job

The global demand for data storage is accelerating at an unprecedented rate, and this growth is reshaping the scale, speed, and expectations of modern manufacturing. To meet this demand, our wafer fabs in Minnesota and Northern Ireland are already among the most advanced production environments in the world and must expand capability, throughput, and operational excellence.

To support this expansion, we are hiring across MES, factory controls, factory support, and project management. We are looking for individuals who can rethink these roles for the next era of manufacturing and are people who bring curiosity, technical depth, and the ability to operate in new ways as workloads scale.

A defining characteristic of these roles is an AI‑first mindset. As part of Global Factory ITs agentic shift, you will help redesign Wafer FAB support, deployment, and configuration activities to meet new demands. You will bring fresh perspectives on existing and new tasks and help pioneer new patterns of collaboration between humans and AI, shaping the next generation of digital work forces and manufacturing systems leaders.

Joining us means contributing to the systems and solutions that will enable our wafer fabs to keep pace with the world’s hunger for data, while building the skills and experiences that define the future of factory operations.

• Lead strategic and tactical projects and deliverables to design, deploy, and enhance the MES systems.
• Create automation solutions to improve operational efficiency and process yield using professionally accepted engineering techniques, practices, and procedures.
• Collaborate with cross functional teams to identify and understand their challenges and opportunities. Then work with those teams to implement and scale changes and enhancements. This collaboration includes process engineering, wafer operations, factory control systems, and the global IT support teams to drive best practices across the organizations.
• Support the MES applications with day‑to‑day activities as well as during upgrades to the applications and supporting infrastructure.
• Be an engaged member of a cross‑site, virtual GenAI adopter group, collaborating through regular forums to exchange ideas, review outcomes, and learn from both successful and unsuccessful GenAI agent deployments.

Please note:
Visa sponsorship is not available with this position

• Degree in Computer Science/Statistics/Applied Mathematics/Engineering or related technical, or equivalent practical experience.
• Will work across departments to solve complex problems.
• Will concurrently support multiple projects and customers.
• Curious and practical about GenAI. Experience with, or strong desire to learn, how to build and deploy GenAI agents to automate and streamline operational workflows.
• Have an automation mindset. Continually looks for repeatable work to standardize and automate processes. Think out‑of‑the box. Are a problem solver.
• Have excellent communication (oral and written) and interpersonal skills.
• Self‑motivated with ability to work both independently and collaboratively.
• Work with the Global Factory IT Team to drive transformation through the strategic adoption and adaptation of AI solutions, aiming to develop improved MES services more efficiently.

• Experience using statistical analysis programs.
• Knowledge and application of Structured Query Language (SQL).
• Knowledge and application of Visual Programming Language / Workflow programming.
• Strong coding skills that could include .NET, C#, Java, Python.
• Knowledge of data formats such as Json & XML.

• General knowledge of wafer fabrication or semiconductor manufacturing.
• General knowledge of Lean manufacturing.
• Experience of RDBMS Oracle PL/SQL, MySQL, Postgre
  
  SQL.
• Experience in the development of machine learning (AI) solutions.
• Experience or interest in developing Python agents (Lang Chain or similar) and/or n8n workflows that utilize Large Language Models (LLMs)…