Staff I4.0 Product Owner

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 empower Micron Assembly and Test Operation to improve cost, scale, quality and productivity. You will bridge business, engineering, and data science teams to drive Industry 4.0 transformation, leveraging industry best methods, advanced analytics, automation, and AI/ML to optimize planning and manufacturing operations. This role requires deep expertise in I4.0 technologies and strong hands-on data science skills to deliver impactful, scalable solutions across global operations.

Key Responsibilities

Product Ownership & I4.0 Leadership

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.

Understands business problems and effectively translates 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.

Present to small and large groups, demonstrating strong leadership and relationship management skills.

Ensure optimization and standardization of tools and processes by leveraging central team business partner to enable sustainable scaling across sites.

Data Science & Analytics

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.

Collaborate with backend and frontend developers to define API specifications and deliver robust 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

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.

Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.​

Preferred Attributes

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.