SENIOR PRODUCT OWNER, SMAI

Req. ID:

JR113072 SENIOR PRODUCT OWNER, SMAI

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Job Description

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.

Job Profile(s):

AI Product Owner 3

Relocation level: (TBD)

Before Getting Started

Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:

• Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
• If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

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As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.