Global BI Lead for Smart Manufacturing AI

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+
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Job summary

Micron invites a senior business intelligence analyst (I4.0) to join the SMAI Planning Innovation team in Singapore. You will drive smart manufacturing initiatives by gathering opportunities, supporting data-backed ML models, and delivering AI-powered apps that integrate with existing systems.

The role emphasizes collaboration with data scientists and global partners to boost wafer output and CAPEX efficiency.

Qualifications

  • Bachelor’s degree in Electrical Engineering, Industrial Engineering, Computer Engineering or Computer Science; equivalent experience considered.
  • Experience in Process Engineering or Product Integration Engineering advantageous.
  • Strong analytical and creative problem-solving skills.
  • Strategically focused, highly organized and adaptable.
  • Able and willing to travel overseas.
  • Results oriented with a growth mindset and strong dedication.

Responsibilities

  • Collaborate with business partners to identify opportunities to improve wafer output performance and prepare data support for ML models.
  • Translate process knowledge into project implementations and scalable solutions for wafer move, WPD, and output performance.
  • Define business solutions and propose projects for implementation.
  • Design, integrate and scale solutions useful to Micron operations at global level.
  • Lead projects and coordinate resources from global teams and measure impact with metrics.

Skills

Analytical skills
Creative problem solving
Travel willingness
Project coordination

Education

Bachelor’s degree in Electrical Engineering, Industrial Engineering, Computer Engineering, or Computer Science

Job description

Micron invites a senior business intelligence analyst (I4.0) to join the SMAI Planning Innovation team in Singapore. You will drive smart manufacturing initiatives by gathering opportunities, supporting data-backed ML models, and delivering AI-powered apps that integrate with existing systems.

The role emphasizes collaboration with data scientists and global partners to boost wafer output and CAPEX efficiency.

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