Senior IT Program Lead - AI/ML & Manufacturing Ops

Seagate Technology; Singapore; On-site; SGD 169,000 - 247,000; Full time

Benefits offered by this job

Discretionary bonus program

Health and welfare benefits

Paid time off and holidays

Job summary

Seagate Technology in Bloomington, MN or Longmont, CO is seeking an IT Project Manager to partner with Engineering Quality, develop a multi-year IT roadmap, and lead cross-functional projects with external partners.

You will manage multiple initiatives, provide updates to the Quality organization, apply AI/ML concepts to improve productivity, and collaborate with manufacturing and engineering teams on day‑to‑day issues and strategic goals.

Qualifications

• Bachelor’s degree in Science, Engineering, or related field and 15+ years of experience.
• Alternatively 12 years with Master’s or PhD with 8 years experience.
• Experience with IT business systems in manufacturing environments.
• Strong communication and technical writing skills.
• Experience managing multiple projects in a matrix environment.

Responsibilities

• Develop a high-level functional understanding of new opportunities where IT can provide value and support.
• Develop a multi-year project roadmap working with the business partners.
• Work with Engineering Quality, cross-functional IT teams, and external partners to execute projects.
• Provide updates to the Quality organization on the progress and status of various projects.
• Manage one or more projects simultaneously.
• Address day-to-day issues as they arise.

Skills

Project management

Communication

Technical writing

IT business systems

Engineering collaboration

AI/ML knowledge

Education

Bachelor’s degree in Science/Engineering or related field

Job description

Seagate Technology in Bloomington, MN or Longmont, CO is seeking an IT Project Manager to partner with Engineering Quality, develop a multi-year IT roadmap, and lead cross-functional projects with external partners.

You will manage multiple initiatives, provide updates to the Quality organization, apply AI/ML concepts to improve productivity, and collaborate with manufacturing and engineering teams on day‑to‑day issues and strategic goals.