AI-Driven Global Planning Product Owner

Stellantis; Auburn Hills (MI); On-site; USD 18,000 - 24,000; Part time

Benefits offered by this job

Paid US holidays

Employee vehicle discount program

Vehicle lease program

Job summary

Stellantis Headquarters & Technology Center in Auburn Hills, MI hosts a student program to support Global Planning AI & Data initiatives. The role is project-based, with 24 hours per week during the school year and potential 40 hours in summers, onsite with management coordinating schedules.

Selected students will assist in creating, testing, and documenting AI agents and tools for planning use cases, translating business needs into clear requirements, and contributing to governance, roadmaps,

Qualifications

• Currently pursuing a Bachelor’s degree or higher in a technical field.
• Must have completed at least one year of undergraduate study at hire.
• Proficient with Microsoft Office Suite applications and AI-enabled productivity tools.
• Able to work 24 hours per week year-round.

Responsibilities

• Support Global Planning AI & Data Product Owner workstream at a practical level.
• Help create, test, and improve AI agents and AI-enabled tools for Global Planning use cases.
• Translate business needs into clear requirements and organize knowledge sources.
• Document agent logic, test features, gather user feedback, and ensure usable solutions.

Skills

Critical thinking

Teamwork

Communication

Time management

Education

Bachelor’s degree or higher in Engineering, Information Systems, Computer Science, Data Science, Analytics, or related technical field

Tools

Microsoft Office Suite

AI-enabled productivity tools

Power Platform

Copilot tools

Job description

Stellantis Headquarters & Technology Center in Auburn Hills, MI hosts a student program to support Global Planning AI & Data initiatives. The role is project-based, with 24 hours per week during the school year and potential 40 hours in summers, onsite with management coordinating schedules.

Selected students will assist in creating, testing, and documenting AI agents and tools for planning use cases, translating business needs into clear requirements, and contributing to governance, roadmaps,