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Industry 4.0 Product Owner — Smart Manufacturing

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Singapore

On-site

SGD 90,000 - 120,000

Full time

Yesterday
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Job summary

A global semiconductor company in Singapore is seeking an Industry 4.0 Product Owner to lead the development of smart manufacturing solutions. You will collaborate with engineering and data science teams to optimize manufacturing operations. The position requires 5+ years of experience in smart manufacturing and data science skills. Candidates with strong project delivery capabilities and communication skills will thrive. This role offers opportunities to shape innovative processes and enhance manufacturing performance.

Benefits

Innovative work environment
Professional development opportunities

Qualifications

  • 5+ years of experience in smart manufacturing, process engineering, or similar operations.
  • Proven experience leading cross‑functional and global teams.
  • 3+ years of hands-on experience in data science and analytics.

Responsibilities

  • Define and drive the I4.0 product roadmap aligned with business objectives.
  • Lead cross-functional teams to deliver integrated smart manufacturing solutions.
  • Collaborate with global teams to deploy and maintain data science solutions.

Skills

Smart manufacturing
Data science
Collaboration skills
Analytical skills
Communication skills
Web development
Business intelligence tools
Agile development

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Tableau
Power Platform
SQL
Snowflake
Job description
A global semiconductor company in Singapore is seeking an Industry 4.0 Product Owner to lead the development of smart manufacturing solutions. You will collaborate with engineering and data science teams to optimize manufacturing operations. The position requires 5+ years of experience in smart manufacturing and data science skills. Candidates with strong project delivery capabilities and communication skills will thrive. This role offers opportunities to shape innovative processes and enhance manufacturing performance.
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