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Jobfoundry
Micron Technology

Staff I4.0 Product Owner

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 2 months ago
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About the role

AI summarised

Lead the definition, development, and delivery of end-to-end smart manufacturing solutions to empower Micron Assembly and Test Operations. This role drives Industry 4.0 transformation by bridging business, engineering, and data science teams to optimize planning and manufacturing operations using advanced analytics, automation, and AI/ML.

IDMOnsiteSmart MFG/AI

Key Responsibilities

  • Define and drive the I4.0 product roadmap, aligning with business objectives and manufacturing strategies.
  • Lead cross-functional teams (engineering, IT, data science, operations) to deliver integrated smart manufacturing solutions.
  • Gather, analyze, and prioritize requirements from end users and stakeholders, developing business cases and proposing high-ROI projects.
  • Translate user requirements into technical specifications for data science, technical solution, and IT teams, and vice versa.
  • Collaborate with global teams to deploy and maintain data science solutions in production environments, ensuring data quality and integrity.
  • Design and develop intuitive user interfaces for interactive data visualization to explain insights from analytic models.
  • Create wireframes, prototypes, and UI mockups based on business requirements and user feedback.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Industrial Engineering, Information Technology, or related field.
  • 5+ years of experience in smart manufacturing, process engineering, or similar operations with proven I4.0 project delivery.
  • 3+ years of hands-on experience in data science, analytics, or related roles.
  • Proven experience leading cross-functional and global teams with strong collaboration skills across all management levels.
  • Demonstrated experience driving digital transformation initiatives within manufacturing or industrial environments.
  • Strong knowledge of data engineering (ETL, data warehousing, SQL, database management systems like Snowflake).
  • Proficiency in web development (Angular, JavaScript/Typescript, HTML) and BI tools (Tableau, Power Platform).
  • Experience with APIs, JSON/XML data formats, and Agile development processes.
  • Strong domain knowledge in capacity modeling, planning and optimization, or line management and manufacturing performance monitoring.