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Micron Technology

Sr I4.0 Product Owner

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 6 months ago
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About the role

AI summarised

As an Industry 4.0 (I4.0) Product Owner at Micron Technology, you will lead the definition, development, and delivery of end-to-end smart manufacturing solutions. 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.
  • Document artifacts related to software development, design, test cases, and releases.

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 across management levels.
  • Strong analytical, problem-solving, and organizational skills.
  • Proficiency in web development (Angular, JavaScript/Typescript, HTML) and BI tools (Tableau, Power Platform).
  • Strong knowledge of data engineering concepts including ETL, data warehousing, SQL, and database management systems (e.g., Snowflake).
  • Experience with APIs, JSON/XML data formats, and Agile development processes.