Manager, Planning Digital Twin

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+

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Job summary

1100 Micron SemiAsiaOP Pte Ltd in Singapore is looking for a SMAI Planning & Ops Planning Digital Twin Manager. In this role, you will lead a high-performing team to deliver business value through advanced analytics, focusing on strategic planning and operational excellence in the semiconductor industry.

The ideal candidate will have at least 5 years of experience, a relevant degree, and exceptional analytical skills. The position emphasizes developing smart manufacturing applications and collaborating with various departments for maximum efficiency.

Qualifications

  • Minimum 5 years of work experience in the semiconductor industry, planning, supply chain, or operations research.
  • Prior knowledge in data science is preferred but not mandatory.
  • Exceptional analytical and critical thinking skills.

Responsibilities

  • Develop and deploy smart manufacturing applications to optimize efficiency.
  • Influence and develop data science AI/ML applications based on business needs.
  • Oversee the build, development, and deployment of applications.

Skills

Analytical thinking
Problem-solving
Interpersonal skills
Communication skills
Planning and organization

Education

Bachelor’s or Master’s degree in Industrial Engineering, Computer Science, Engineering, or related field

Job description

As a SMAI Planning & Ops Planning Digital Twin Manager at Micron Technology, Inc., you will lead and develop a high‑performing team to deliver business value through advanced analytics and data‑driven solutions. This role focuses on strategic planning, execution, and continuous improvement of data science initiatives that support operational excellence and innovation, particularly in the semiconductor industry.

Key Responsibilities
  • Initiate, develop, and deploy smart manufacturing applications to optimize capex efficiency and transform the planning process.
  • Influence and develop data science AI, ML applications to identify critical business needs and opportunities, quantify the business impact, and prescribe actions to maximize output efficiency and optimize cycle time performance.
  • Integrate solutions and applications across production planning, IE planning, and supply chain departments to deliver robust, scalable, effective, and efficient solutions that enable high business value.
  • Oversee the end‑to‑end build, development, and deployment of smart manufacturing applications, providing technical consulting and hands‑on assistance during the lifecycle.
  • Assist in troubleshooting escalated application issues and provide solutions and/or coaching for resolution.
  • Drive project execution through cross‑functional collaboration, effectively manage stakeholders, and ensure strong engagement.
  • Champion the adoption and scaling of solutions across the network, promoting standardization and continuous improvement.
  • Evaluate third‑party software, hardware, and vendor selection, if appropriate.
Requirements
  • Bachelor’s or Master’s degree in Industrial Engineering, Computer Science, Engineering, or a related field.
  • Minimum 5 years of work experience in the semiconductor industry, planning, supply chain, operations research, or an equivalent sector.
  • Prior knowledge in data science is preferred but not a pre‑requisite.
  • Exceptional analytical, conceptual thinking, critical thinking, and problem‑solving skills.
  • Excellent interpersonal skills, strong communication skills, and excellent planning, organizational, and time‑management skills.
  • Results‑oriented, with a growth mindset and strong dedication to identify and implement improvement opportunities.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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