The posting
As an Industry 4.0 (I4.0) Product Owner at Micron Technology, Inc., you will lead the definition, development, and delivery of end-to-end smart manufacturing solutions to enable Micron Assembly and Test Operations to improve cost, scalability, quality, and productivity.
You will bridge business, manufacturing, engineering, IT, and data science teams to drive Industry 4.0 transformation through advanced analytics, automation, AI/ML, and digital solutions. This role requires strong manufacturing domain knowledge, technical understanding, product ownership experience, and hands-on data analytics/data science capabilities to deliver scalable and sustainable solutions across global operations.
Key Responsibilities
Product Ownership & Industry 4.0 Leadership
- Define and drive the I4.0 product roadmap, aligning product priorities with business objectives and manufacturing strategies.
- Lead cross-functional teams across manufacturing, engineering, IT, data science, and operations to deliver integrated smart manufacturing solutions.
- Gather, analyze, and prioritize requirements from end users and stakeholders; develop business cases, validate business impact, and identify high-ROI opportunities for implementation.
- Understand business and manufacturing problems and translate user requirements into clear functional and technical requirements for data science, engineering, and IT teams, while translating technical solutions and constraints back to business stakeholders.
- Collaborate with global teams to deploy, scale, and sustain digital and data science solutions in production environments.
- Drive data quality, integrity, solution performance, and continuous improvement across relevant data sources and applications.
- Develop and maintain appropriate documentation covering solution design, requirements, testing, user training, and releases.
- Communicate effectively with peers, senior management, end users, and external partners.
- Present solutions, recommendations, and business impact to both technical and non-technical audiences.
- Drive standardization and optimization of tools and processes to enable sustainable scaling across manufacturing sites.
Data Science, Analytics & Digital Solutions
- Apply statistical analysis, machine learning, optimization, and advanced analytics to solve manufacturing and operational problems.
- Perform data analysis, feature engineering, model validation, and performance monitoring where required.
- Translate analytical and model outputs into actionable manufacturing insights and deployable digital solutions.
- Provide technical guidance on data, system interfaces, solution capabilities, and process improvements.
- Design effective data visualizations and interactive interfaces that enable users to understand insights from data and analytical models.
- Develop wireframes, prototypes, and UI mock-ups based on business requirements and user feedback.
- Collaborate with data engineers, backend developers, and frontend developers to define data and API requirements and deliver robust, scalable solutions.
- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
- Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
Qualifications
Required
- 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 Industry 4.0 project delivery.
- Demonstrated experience leading products, projects, or solutions across cross-functional and/or global teams.
- Proven experience translating manufacturing or business requirements into technical and data-driven solutions.
- 3+ years of hands-on experience in data science, advanced analytics, machine learning, optimization, or a closely related area.
- Proficiency in data analysis and manipulation, with practical experience using SQL and relevant programming or analytical tools such as Python or R.
- Understanding of data engineering concepts, including ETL, databases, data pipelines, and data warehousing.
- Strong domain knowledge in at least one of the following areas: Capacity modeling Manufacturing planning and optimization Line management Manufacturing performance monitoring
- Demonstrated experience driving digital transformation initiatives within manufacturing or industrial environments.
- Strong analytical, problem-solving, organizational, communication, and presentation skills.
Preferred / Advantageous
- Experience with data platforms and technologies such as Snowflake.
- Experience with business intelligence and visualization tools such as Tableau or Microsoft Power Platform.
- Knowledge of web technologies such as Angular, JavaScript/TypeScript, or HTML.
- Experience working with APIs and data formats such as JSON or XML.
- Experience working in Agile software or product development environments.
- Knowledge of semiconductor manufacturing, particularly Assembly and Test operations.
- Familiarity with manufacturing systems such as MES and SAP.
Preferred Attributes
- Strong ownership mindset with the ability to work independently and drive initiatives from concept through implementation.
- High attention to detail, data accuracy, and solution quality.
- Ability to manage and prioritize multiple projects and stakeholder requirements simultaneously.
- Highly organized, adaptable, and comfortable working in a fast-changing manufacturing environment.
- Strong stakeholder management and relationship-building skills.
- Passion for innovation, digital transformation, and continuous improvement in manufacturing.
