Product Business Integration drives data and digital capabilities, continuous improvement, and business operations excellence at Nike. The Data Business Integration team empowers Nike with pristine, accessible, and trusted product data, fueling the mission to bring innovation and inspiration to all athletes*. The Product Information Management (PIM) organization delivers world‑class data management and exceptional service to functional partners, managing global product data and supporting critical product creation and downstream processes.

PIM is seeking a detail‑oriented, data‑driven professional with a passion for product information management and operational excellence. The ideal candidate thrives in a fast‑paced environment, excels at managing large datasets, and demonstrates a strong commitment to accuracy and continuous improvement. This individual is a proactive, clear communicator who builds strong relationships across teams to ensure seamless product data management.

• Minimum 1‑3 years of relevant experience in data management, product lifecycle management, or related fields
• Bachelor’s degree, or two additional years of experience in lieu of a degree (unchanged as instructed)
• Highly proficient with data and digital tools
• Works independently and collaboratively in a dynamic, fast‑paced environment
• Strong attention to detail and the ability to prioritize tasks effectively
• Proficiency with MS Excel at an intermediate level, including VLOOKUPs, pivot tables, and formulas

You will manage core product information throughout the line planning lifecycle, supporting the Product Management team and maintaining critical data across systems. You will ensure the accuracy, timeliness, and completeness of product data to support key business milestones and downstream processes.

Your responsibilities will include:
• Managing global product data for your assigned Sport, ensuring alignment with Nike’s product creation timeline
• Partnering with cross‑functional teams—including Product Management, Development, and Merchandising—to maintain data consistency and quality
• Troubleshooting and resolving data discrepancies and system issues in partnership with technical teams
• Contributing to process improvements and best practices in product data management
• Supporting successful integration of product data into downstream systems to ensure readiness for business applications