Intern - FE Materials Procurement Operations

Micron; Singapore; On-site; SGD 22,000 - 33,000; Full time

Job summary

Micron Technology, Inc. invites applications for an AI-Enabled Procurement Analytics internship in Singapore.

The role focuses on building dashboards, performing data analysis, and driving process improvements within Front End Materials Procurement Operations. You will work closely with global teams, gain hands-on experience in AI-enabled procurement solutions, and contribute to data-driven decision making.

Qualifications

• Strong analytical mindset with ability to derive insights from data.
• Exposure to procurement, supply chain analytics, or digital transformation preferred.
• Familiarity with data visualization and reporting tools (Power BI, Excel).
• Willingness to learn automation and AI-enabled workflows.

Responsibilities

• Develop AI-enabled procurement analytics dashboards and reports.
• Analyze procurement and supply chain data to identify trends and optimization opportunities.
• Collaborate with cross-functional teams to map workflows and recommend improvements.
• Deliver management reporting frameworks and governance metrics.

Skills

Analytical thinking

Data analytics

Problem solving

Stakeholder communication

Education

Pursuing degree in Business, Supply Chain Management, Engineering, Data Analytics, Computer Science

Tools

Power BI

Excel

Job description

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Location Singapore Department Global Procurement - Front End Materials Procurement Operations Project Title AI-Enabled Procurement Analytics and Process Optimization Project Description The Global Procurement organization plays a key role in enabling Micron’s growth through supply chain resiliency, data-driven decision-making, sustainability initiatives, and procurement excellence. This internship provides an opportunity to gain hands-on experience in procurement operations, digital transformation, and data analytics within a global business environment. The intern will participate in a structured project focused on developing AI-Enabled procurement solutions, enhancing data visibility, and improving operational workflows. Through mentorship and project ownership, the intern will gain exposure to procurement systems, supply chain processes, data analytics, Agentic AI solutions, and continuous improvement methodologies.

Objective of the Project

To develop and implement AI-Enabled analytics and process improvement solutions that enhance procurement visibility, operational efficiency, and decision‑making capabilities within Front End Materials Procurement Operations.

Opportunities for Full Time Employment

High-performing interns may be considered for future internship conversion opportunities or full-time employment opportunities, subject to business needs and hiring requirements.

Project Scope

Procurement Systems & Analytics

Develop and enhance procurement dashboards, reporting tools, and data visualization solutions to improve operational visibility and business insights. Evaluate opportunities to leverage Artificial Intelligence and Agentic AI capabilities for procurement data management and decision support.

Data Analysis & Insights

Analyze procurement and supply chain datasets to identify trends, risks, optimization opportunities, and performance improvement areas. Explore the use of Generative AI, AI Assistants, and Agentic Solutions to improve analytical workflows and reporting efficiency.

Process Excellence

Collaborate with cross-functional stakeholders to map existing workflows and identify opportunities for process simplification and automation. Design and validate recommendations that improve efficiency and operational effectiveness.

Strategic Sourcing Analytics

Evaluate supplier performance data, sourcing metrics, capacity information, and business requirements to generate actionable insights that support supply continuity and commercial objectives.

Performance Reporting

Develop management reporting frameworks and procurement metrics that improve tracking, governance, and decision‑making capabilities.

Learning Opportunities

Through this internship, the candidate will have opportunities to:

• Gain exposure to semiconductor supply chain and procurement operations.
• Learn how procurement decisions are driven through analytics and digital technologies.
• Develop practical experience in Power BI, Excel, automation technologies, and AI-enabled business processes.
• Build skills in stakeholder engagement, problem solving, and process improvement methodologies.
• Explore real-world applications of Artificial Intelligence, Agentic AI, and Generative AI within procurement operations.

Deliverables

• AI-Enabled Procurement Tracking Solution: A functional tracking and analytics solution that improves visibility of procurement activities, performance metrics, and optimization opportunities.
• Process Optimization Review: A comprehensive assessment of workflow improvement opportunities, including implemented enhancements and measurable outcomes.

Impact of the Project

The project will contribute to enhanced procurement visibility, improved decision‑making, streamlined business processes, and expanded use of AI-enabled technologies. Project outcomes are expected to strengthen operational efficiency and support long-term procurement transformation initiatives.

Skillsets Required

Strong analytical and problem-solving capabilities. Interest in procurement, supply chain operations, business analytics, or digital transformation. Proficiency in Microsoft Excel, PowerPoint, and Power BI. Familiarity with data analysis concepts and visualization tools. Exposure to Artificial Intelligence, Generative AI, Agentic AI, AI Assistants, Large Language Models (LLMs), or AI-enabled workflows is advantageous. Willingness to learn automation and digital technologies such as UiPath, Power Automate, Tableau, or similar platforms. Effective communication and collaboration skills in a global environment.

Course of Interest

The ideal candidate should be pursuing Business, Supply Chain Management, Engineering, Data Analytics, Computer Science, Chemistry, Science, or a related field.

Duration of Period

The ideal candidate should be able to commit to a full-time internship period of 5 to 6 months from January 2027 to May/June 2027.

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

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 labour 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.