Supply Chain Management Student Program

Student Program Overview

The Stellantis Student Program is a part-time position requiring employees to work year-round, 24 hours per week (Monday-Friday during normal business hours). Candidates who are selected for the program will work with their manager to determine a consistent weekly work schedule where candidates fulfill the 24-hour requirement, while balancing their class schedule. During the summer months, student employees may potentially work 40 hours per week. This determination will be at management's discretion.

The Stellantis Student Program is an experiential learning program. Program highlights include:

• Flexible part-time schedule
• Competitive pay
• Participants will gain valuable field experience
• Participants will add value to the organization through their work assignments
• Potential academic course credit

Department Details

Selected candidates will work in a dynamic and collaborative environment with other Supply Chain Management professionals to complete project assignments and day-to-day activities to support the Supply Chain Management department. The selected candidates will work for current and future programs to avoid supply risk. Additionally, they will participate in ongoing process improvement initiatives.

What this role will prepare you for:

• Future Supply Chain Management roles with increasing levels of responsibility

• Future roles in a dynamic fast-paced industry in automotive/mobility
• Future leadership or rotational programs

Basic Qualifications:

• Pursuing a Bachelor's degree at an accredited university
• Ability to work 24 hours per week, year round

Preferred Qualifications:

• Majoring in Supply Chain Management or similar discipline
• Achievement of Sophomore status at an accredited university at the time of hire
• GPA of 3.0 or higher (based on a 4.0 scale)
• Strong interest in automotive industry
• Demonstrated critical thinking and problem-solving skills
• Strong written and oral communication skills
• Good interpersonal skills
• Ability to work in a team environment
• Data analytics introductory classroom experience in:
• Microsoft Excel (formulas, Pivot tables, Data Analysis)
• Basic programming in SQL and/or Python
• Data tables and databases
• Creative / resourceful information mining and fact seeking skills
• Advanced analytical and PowerPoint presentation building skills