Supply Chain/Supply Management Intern
On-siteDallas, Texas, United States
Job Summary
Lead and manage components of an assigned project while collaborating with cross-functional teams to integrate demand planning, procurement, manufacturing, and logistics. Identify, select, and manage suppliers to ensure a reliable, cost-effective supply of materials supporting patient therapies, driving supplier performance and mitigating supply risks. Apply data analytics to support decision-making, identify opportunities to improve productivity and efficiency, and present recommendations to stakeholders. Work alongside experienced leaders to contribute to projects that support critical business objectives and develop valuable skills in supply chain functions.
Required Qualifications
- Working toward a bachelor's in Supply Chain Management or a related major with an anticipated graduation date of Winter 2027, Spring 2028, Winter 2028, or Spring 2029
- Ability to participate full time, 40 hours per week, as part of the intern cohort from June 1-August 13 for semester system programs or June 14-August 20 for quarter system programs
- Legally authorized to work in the U.S. on a full-time basis and do not require sponsorship now or in the future for an employment visa
- Must reside in the U.S. for the duration of the internship
- Minimum of 3.0 cumulative GPA on a 4.0 scale
- Prior project work in a team environment with defined deliverables
- Relevant academic project or internship experience
- Technical writing skills
- Experience creating documentation, project summaries, or Supply Chain presentations
- Must be independently mobile
- Required to interact with a computer
- Required to communicate with peers and coworkers
Desired Qualifications
- Strategic sourcing
- Supplier and stakeholder relationship management
- Professional skill and network development
- Lead and manage components of an assigned project
- Collaborate with cross-functional teams across the organization
- Participate in project reviews and business discussions
- Apply data analytics to support decision-making
- Identify opportunities to improve productivity, quality, and efficiency
- Present recommendations and project outcomes to stakeholders
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