AI-Enabled Commercial Excellence Intern

GlobalFoundries; Austin (CA); On-site; USD 28,000 - 55,000; Full time

Job summary

GlobalFoundries is offering a Commercial Excellence internship in the Austin area. You will gain hands-on experience analyzing partner data, improving processes, and creating training materials using AI-assisted tools.

Ideal candidates pursue a BA/BS or MS in business analytics or related fields, maintain a 3.0 GPA, and commit to 40 hours per week. The program includes mentorship, exposure to executives, and opportunities to present recommendations.

Qualifications

• Pursuing a Bachelor's or Master's degree in Business Administration, Business Analytics, Information Systems, Marketing, Economics or related field.
• GPA of 3.0 or higher.
• English fluency (written & verbal).
• Willing to work 40 hours per week during the internship.

Responsibilities

• Collect and review partner and sales data using Excel and AI-assisted tools to support data integrity and analytics.
• Interview stakeholders and observe workflows to create simple process maps and job aids.
• Support improvements to the partner web portal by documenting needs, testing updates and tracking items.
• Research potential partners and summarize key findings for team discussions.
• Use data and AI-assisted tools to prepare insights and summaries for sales funnel reviews and leadership updates.
• Help create and maintain partner training materials using AI-assisted tools and own a defined project from start to finish.

Skills

English fluency

Data analysis

Excel

PowerPoint

Power BI

SQL basics

Communication skills

Project management

Education

Sophomore status pursuing bachelor’s or master’s degree

GPA ≥ 3.0

Tools

Power BI

Power Platform

SQL

Job description

GlobalFoundries is offering a Commercial Excellence internship in the Austin area. You will gain hands-on experience analyzing partner data, improving processes, and creating training materials using AI-assisted tools.

Ideal candidates pursue a BA/BS or MS in business analytics or related fields, maintain a 3.0 GPA, and commit to 40 hours per week. The program includes mentorship, exposure to executives, and opportunities to present recommendations.