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Micron Technology

Manager, Smart Manufacturing & Artificial Intelligence Global Operations Improvement

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeFull-time3 weeks ago
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About the role

AI summarised

Manager of Smart Manufacturing & AI Global Operations Improvement at Micron Technology, a semiconductor memory and storage solutions company. Leads a data science team to develop and deploy AI-driven solutions for global operational excellence in manufacturing, supply chain, and operations.

IDMFull-timeSmart MFG/AI

Key Responsibilities

  • Lead, mentor, and grow a team of data scientists focused on delivering scalable AI solutions aligned with SMAI's global strategy.
  • Foster a culture of innovation, accountability, and continuous learning.
  • Translate SMAI department strategy into actionable data science initiatives that support business goals across manufacturing, supply chain, and operations.
  • Collaborate with global partners to identify high-impact opportunities and ensure alignment with organizational priorities.
  • Guide the team in designing and implementing AI/ML models using tools such as Google Cloud Platform (GCP), BigQuery, and Vertex AI.
  • Ensure robust data pipelines and model deployment using SQL, Python, and cloud-native technologies.
  • Promote practices in model development, validation, and monitoring.
  • Champion data quality, security, and compliance across all projects.
  • Stay current with emerging trends in AI, machine learning, and cloud computing, and drive adoption of relevant innovations.

Requirements

  • Bachelor's or Master's degree or equivalent experience in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • Japanese & English communication skill.
  • 5+ years of experience in data science or analytics, with at least 2 years in a leadership or managerial role.
  • Proven track record of delivering AI-related solutions in manufacturing, operations, or supply chain domains.
  • Strong proficiency in SQL, Python, and data modeling techniques.
  • Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Vertex AI, and Cloud Functions.
  • Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn) and MLOps practices.
  • Ability to translate SMAI department strategy into actionable data science initiatives.
  • Strong partner management and communication skills across global teams.
  • Experience working in agile environments and managing multiple concurrent projects.
  • Demonstrated ability to lead and develop high-performing teams.
  • Passion for innovation and continuous improvement in AI and smart manufacturing technologies.