Manufacturing Execution Systems Sr. Analyst (MES)

SEAGATE TECHNOLOGY (NRM) • Bloomington, MN • 4h ago

About our group: 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 AIfirst 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 workforces 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. About the role - you will: 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 crosssite, 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 About you: 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. Your experience includes: 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. You may also have: General knowledge of wafer fabrication or semiconductor manufacturing. General knowledge of Lean manufacturing. Experience of RDBMS Oracle PL/SQL, MySQL, PostgreSQL. Experience in the development of machine learning (AI) solutions. Experience or interest in developing Python agents (LangChain or similar) and/or n8n workflows that utilize Large Language Models (LLMs) non-developers can run and extend and experience using or building MCP servers/tools. Experience in messaging systems like RabbitMQ, Kafka, Docker and Kubernetes. Location: Location: Bloomington, MN On-site M-F Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site cafe, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunch time? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments and group workouts. Looking for something more laid back? Reset in one of our meditation rooms or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations and community volunteer opportunities also abound. The estimated base salary range for this position is $82,500 - $116,500. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training. Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, eligibility to participate in discretionary bonus program, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location. Location: Normandale, United States Travel: Up to 10% Seagate Technology is committed to equal opportunity in employment and welcomes applications from all sections of the community, irrespective of sex, marital status, religious affiliation, age, disability, veteran status, or ethnic origin

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