Intern - FE Materials Procurement Operations

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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

• 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.