About the role

AI summarised

As a Staff I4.0 Product Owner at Micron Technology, you will lead the definition and delivery of smart manufacturing solutions to enhance Assembly and Test operations. You will bridge business, engineering, and data science teams to drive Industry 4.0 transformation using analytics, automation, and AI/ML. This role requires strong data science skills, hands-on experience with web development and BI tools, and proven experience leading global teams in manufacturing environments.

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, develop business cases, validate impact, and propose high-ROI projects for implementation
Understand business problems and effectively translate user requirements into technical specifications—and vice versa—for data science, technical solution, and IT teams
Collaborate with global teams to deploy and maintain data science solutions in production environments, ensure data quality, integrity, and continuous improvement across all relevant data sources
Document artifacts related to software development, design, test cases, user training and releases
Communicate effectively with peers, senior management, and external partners
Ensure optimization and standardization of tools and processes by leveraging central team business partner to enable sustainable scaling across sites
Provide expert guidance on system interfaces, capabilities, and process improvements
Design and develop intuitive and responsive user interface for interactive data visualization to explain insights from data or 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
Proven experience leading cross-functional and global teams, with strong collaboration skills across peers, senior, and mid-level management
Demonstrated experience in driving digital transformation initiatives within manufacturing or industrial environments
Excellent analytical, problem-solving, and organizational skills
Strong communication skills (written, verbal, and presentation)
3+ years of hands-on experience in data science, analytics, or related roles
Strong knowledge of data engineering (ETL, data warehousing, SQL, database management systems such as Snowflake)
Proficiency in web development (Angular, JavaScript/Typescript, HTML) and business intelligence 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
Knowledge of semiconductor manufacturing processes and systems (e.g., MES, SAP) is a plus
Self-motivated, with strong ownership and ability to work independently
High attention to detail, data accuracy, and quality
Ability to manage multiple projects simultaneously
Highly organized and ability to remain flexible and adapt to changing business needs
Passion for innovation and continuous improvement in manufacturing