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Micron Technology

Makes memory and storage chips for AI and PCs

Staff Industry 4.0 Product Owner

Product ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Industrial Engineering, Information Technology, Data Science, Engineering, or a related field.
  • At least 5 years of experience in smart manufacturing, manufacturing operations, process engineering, digital transformation, or a related field, including demonstrated Industry 4.0 project delivery.
  • Demonstrated experience leading products, projects, or solutions across cross-functional and/or global teams.
  • Experience translating manufacturing or business requirements into technical and data-driven solutions.
  • At least 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 capacity modeling, manufacturing planning and optimization, line management, or manufacturing performance monitoring.
  • Demonstrated experience driving digital transformation initiatives within manufacturing or industrial environments.
  • Strong analytical, problem-solving, organizational, communication, and presentation skills.

Responsibilities

  • Define and drive the Industry 4.0 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 documentation covering solution design, requirements, testing, user training, and releases.
  • Communicate with peers, senior management, end users, and external partners.
  • Present solutions, recommendations, and business impact to technical and non-technical audiences.
  • Drive standardization and optimization of tools and processes to enable sustainable scaling across manufacturing sites.
  • 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 data visualizations and interactive interfaces that enable users to understand insights from data and analytical models.
  • Develop wireframes, prototypes, and user interface 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.
  • Integrate 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.
  • Contribute to continuous improvement by identifying, testing, and sharing AI-enabled enhancements within the role's scope of work.

Desired Qualifications

  • 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.
  • Ability to work independently and drive initiatives from concept through implementation.
  • Attention to detail, data accuracy, and solution quality.
  • Ability to manage and prioritize multiple projects and stakeholder requirements simultaneously.
  • Ability to work in a fast-changing manufacturing environment.
  • Stakeholder management and relationship-building skills.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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