Industry 4.0 Product Owner

About the role

Micron Technology, Inc. is hiring an Industry 4.0 (I4.0) Product Owner to lead the definition, development and delivery of end-to-end smart manufacturing solutions for its Assembly and Test Operations. The role bridges business, manufacturing, engineering, IT and data science teams to drive Industry 4.0 transformation through advanced analytics, automation, AI/ML and digital solutions, improving cost, scalability, quality and productivity.

Key responsibilities

• Define and drive the I4.0 product roadmap, aligning priorities with business objectives and manufacturing strategy
• Lead cross-functional teams across manufacturing, engineering, IT, data science and operations
• Gather and prioritize requirements, develop business cases and identify high-ROI opportunities
• Translate user needs into functional and technical requirements, and communicate technical constraints back to stakeholders
• Deploy, scale and sustain digital and data science solutions in production, and drive data quality and performance
• Document solutions, train users and present recommendations to technical and non-technical audiences
• Standardize tools and processes to enable scaling across manufacturing sites
• Apply statistics, machine learning, optimization and advanced analytics to solve manufacturing problems, and turn model outputs into actionable insights
• Design data visualizations, wireframes and prototypes, and work with data engineers, backend and frontend developers on data and API requirements

Required profile

• Bachelor's or Master's degree in Computer Science, Industrial Engineering, Information Technology, Data Science, Engineering or a related field
• 5+ years of experience in smart manufacturing, manufacturing operations, process engineering, digital transformation or a related field, with demonstrated I4.0 project delivery
• Proven experience leading products or solutions across cross-functional and/or global teams
• 3+ years of hands-on experience in data science, advanced analytics, machine learning, optimization or a closely related area
• Strong domain knowledge in at least one of: capacity modeling, manufacturing planning and optimization, line management, manufacturing performance monitoring
• Demonstrated experience driving digital transformation in manufacturing or industrial environments

Required skills

• Data analysis and manipulation with SQL, and tools such as Python or R
• Understanding of data engineering concepts: ETL, databases, data pipelines and data warehousing
• Preferred: Snowflake, Tableau or Microsoft Power Platform, Angular, JavaScript/TypeScript, JSON/XML, Agile environments, MES and SAP, and semiconductor assembly and test operations