SENIOR PRODUCT OWNER, SMAI

As a Senior Product Owner at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives and delivers end to end smart manufacturing solutions, integrated across functions of the business. You and the team will be looking to apply the industry-leading best methodologies in data science, automation, AI and machine learning to enhance Micron’s product development, business and administrative processes across the company.

In this role, you will work with an internal team of Data Scientists and Data Engineers and engaging external suppliers to the design, analysis, and implementation of data science solutions and smart manufacturing application. You will be exposed to the world of data science, AI and machine learning and have the opportunity to build an in-depth understanding of these skills. More importantly, you will collaborate closely with key stakeholders within Micron to ensure positive impact and sustainable results from the Smart Manufacturing solution..

Responsibilities and Tasks

• Work with users to capture and analyze information related to the adoption of project, Machine Learning applications and IIOTs for Smart Manufacturing through supplier engagement.

• Collaborate with Data Engineers & Data Scientists to design, execute and deliver projects that require the coordination and support of resources from global teams.

• Develop an understanding in the area of data science and machine learning and use these knowledges to execute the project to ensure positive results.

• Provide expert functional and process guidance on system capabilities

• Use metrics and performance data to understand opportunities for improvement

• Partner with manufacturing, planning and engineering organizations to identify and prioritize opportunities that improve wafer output, productivity and capital efficiency.

• Gather, analyze and translate business requirements into functional requirements, user stories and implementation plans.

• Define solution scope, business requirements, success criteria and key performance indicators (KPIs).

• Lead cross-functional projects from problem definition through solution deployment, business adoption and value realization.

• Analyze operational data and business processes to identify improvement opportunities and drive continuous optimization.

• Leverage Artificial Intelligence (AI), Generative AI and AI-assisted tools to improve decision making, automate workflows and accelerate solution delivery.

Qualifications

• 5+ years of semiconductor manufacturing experience, with good understanding of fab/manufacturing, engineering, productivity, yield, wafer output or operational processes.

• Experience delivering digital transformation, Smart Manufacturing, Industry 4.0 or manufacturing analytics solutions.

• Working knowledge of AI / Machine Learning and data science applications, with experience partnering directly with Data Scientists and Data Engineers.

• Experience translating manufacturing/business problems into technical or functional requirements, user stories, solution scope, acceptance criteria and KPIs.

• Strong data analytics skills, including using manufacturing/operational data and KPIs to identify opportunities and measure business impact.

• Experience managing the end-to-end product/project lifecycle, from problem definition and requirements gathering through development, deployment, adoption and value realization.

Highly desirable

• Hands-on exposure to Generative AI, AI-assisted applications, predictive analytics, optimization or automation.

• Experience with IIoT / Industrial IoT, manufacturing systems, equipment or sensor data.

• Knowledge of semiconductor manufacturing systems/data environments such as MES, SPC, FDC, APC, equipment data or process control systems.

• Experience improving wafer output, cycle time, equipment productivity, yield, quality or capital efficiency through digital/data solutions.

• Experience managing external technology vendors/suppliers and global cross-functional teams.

• Strong stakeholder management, including working with manufacturing, engineering, IT/data teams and senior management.