Staff I4.0 Product Owner

Micron Technology, Inc.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking an experienced leader to own the Industry 4.0 product roadmap and drive integration of smart manufacturing solutions across global manufacturing sites.

You will lead cross‑functional teams spanning manufacturing, engineering, IT, data science, and operations to translate business needs into scalable data-driven products and processes. Applicants should bring 5+ years in smart manufacturing, strong data analytics capabilities, and a track record of

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Industrial Engineering, Information Technology, Data Science, Engineering.
• 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.
• 3+ years 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.

Responsibilities

• 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.
• Collaborate with global teams to deploy, scale, and sustain digital and data science solutions in production environments.

Skills

Ownership mindset

Attention to detail

Multitasking

Organizational skills

Stakeholder management

Innovation & digital transformation

Education

Bachelor’s or Master’s degree in Computer Science, Industrial Engineering, Information Technology, Data Science, Engineering

Tools

Snowflake

Tableau

Power Platform

Angular

JavaScript/TypeScript

HTML

APIs

JSON/XML

Agile

MES

SAP

Job description

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.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands.

Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

Equal Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert

Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert

Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.