Intern - Product Integrity

In short

Whether you’re looking to jump start your career or gain first hands-on experience in a new field, an internship at On offers you a unique growth experience, the chance to make an impact from day 1 and contribute to On’s growth journey. We are looking for fresh ideas, curious minds and passionate individuals ready to make a difference. Our internships generally last 6 months and you will be fully embedded in a team.

• Start date: ADD DATE (Sept 1 or March 1)
• Duration: 6 months
• Prerequisite: Interest in area relevant to the internship, passion for On, right to work in EU / Switzerland
• Note: This is a paid internship
• If you don't meet the criteria above, unfortunately, we cannot move forward with your application. Please be truthful in your answers, the recruiter reviewing your application will appreciate your honesty.

Curious about life as an intern at On? We recommend watching the recording of our previous livestream (https://www.careerfairy.io/company/On_AG/livestream/eCaoLI8t0mYLqzRYM1eq) to hear former interns share their internship experience, get an insider’s look at different departments and pick up some tips and tricks from our recruiters to help you ace the application process!Please note that the next internship program kicks off on March 1 (not September 1 as mentioned in the livestream).

Your Mission

• Develop and Implement Data Governance Policies: establish and maintain data standards and best practices to ensure product item master data integrity and compliance with regulatory requirements/sustainability needs.
• Lead Data Quality Initiatives: monitor, analyze and ensure that the complete & accurate data is input in our PLM system by PLM users
• Data Labeling: maintain data labeling document (master file & APAC file) ensuring complete and accurate data is provided for Sourcing team. Map out end to end data labeling process including hangtags, care labels and translations.
• Collaboration and Cross-Functional Support: Work closely with teams in R&D, Finance. Supply Chain, Commercial, Marketing, and Technology and other stakeholders to address data related issues, align on data needs and ensure that workflows support high-quality data throughout the product lifecycle."