As a key player in Richemont’s data transformation journey led by the Group Data Office, the Data Project Manager Intern will support the enablement of our Maisons, Functions, Divisions and Regions in their capacity to manage and leverage their data securely, autonomously and at scale.

Within the Data Enablement team and reporting to our Senior Data Program Manager, the ideal candidate will support in the organization and orchestration of the transformation program for our business entities, focusing on change management, communication, and training coordination.  

As the Data Project Management Intern, you will be in charge of:

1. Assist ing in data transformation program management:

• Help manage the portfolio of initiatives on the data transformation roadmap.

• Coordinate with cross-functional teams, including Group Technology, Analytics Enablement and Governance Enablement teams to create transformation roadmap, map interdependencies and track progress

• Collaborate with Maisons and Group Functions to define Data Transformation program objectives and scope.

1. Data transformation community animation :

• Support communities of practice or forums to facilitate collaboration on data transformation related initiatives.

• Build and organize resources, support materials and communication content to support and animate data transformation community

• Assist other program managers and team members with project management methodologies, tools, and techniques.

1. Data trainings and communication support :

• Orchestrate our training and communication plan working closely alongside Data Office team members and key stakeholders.   

• Work with our internal and external partners to define the communication and training content needs, plan resources accordingly.  

• Review training content provided by contributors to align on messaging, tone and readability for the target audience

1. Assist ing in measuring and communicating impact:

• Help track key performance indicators to measure the impact of data enablement initiatives.

• Assist in providing regular updates on the progress and achievements.

• Help prepare communication on the success stories and benefits derived from data enablement.

• You have excellent organizational skills with the ability to prioritize tasks and manage multiple projects simultaneously. 
• You have a detail-oriented mindset with a proactive and problem-solving attitude. 
• You are currently pursuing a Master’s degree in computer science, Data Science, Information Systems, Business Administration, or a related field.
• You have strong interest and knowledge in data, cloud, and related technologies. Experience with enterprise data platforms and/or data visualization tools is a plus. 
• Having a previous experience in a project management or data related role is a plus.
• You have excellent communication and interpersonal skills with ability to build trusted relationships within the team and across the organization. 
• You have shown p roven creativity and analytical thinking, ability to break down complex tasks. 
• Having luxury or retail business know-how is a plus.
• You are fluent in English, French is a plus.
• You are available for a 6-month internship as from 01 .08 .2025.
• You have an internship agreement with your school/university.

We are a very dynamic team, open-minded and extremely curious. We collaborate on many data projects from Business Insights to Artificial Intelligence with all businesses across the organization, from Manufacturing to Marketing or Sustainability and Retail, which makes every day enriching and fascinating.  

This is a fantastic opportunity to join a transformational program in a highly motivated team.  

We give real responsibilities to all team members, have a strong culture of feedback and love to collaborate!  

You will be partnering with all Maisons and Group Functions to deliver a key solution enabling our data projects and help us improve the value of our data assets. You will be based in Meyrin, Geneva.  

1. If your application is selected, we will reach out to you for an informal introductory call.

1. The next steps would be General and Technical interviews with the hiring Manager, and the Data Office leadership members.