DATA

At Cartier, we empower our employees to derive insights and generate value from data and AI, autonomously, securely, and at scale. Our worldwide community of data experts consists of data scientists, machine learning engineers, data engineers and analytics engineers. Our people are constantly exploring new technologies and innovative ways to unlock the potential of our data, ensuring we remain at the forefront of luxury craftsmanship, client experience and operational excellence.

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Thomas

Chief Data Officer, Switzerland

Thomas joined Cartier within the Supply Chain teams as Distribution Planning Manager for Watches. His scope evolved over time, and he progressively took over Demand Planning and Supply Planning as well. He had the opportunity to manage the entire Supply Chain for Watches a few years later. In parallel to his position, he worked on several initiatives for the Maison around data, AI and analytics, spanning from Supply Chain to Client Marketing and Communication.

Those initiatives expanded rapidly, and a dedicated team was built to tackle data topics at scale within Cartier.

In 2022, he took over the role of Cartier’s Chief Data Officer, before also endorsing the role of Richemont Group Chief Data Officer in 2023.

Data and AI is a constantly evolving field, and we expect our teams to learn continuously, explore new approaches and train themselves frequently on new solutions and services.

Thomas

What does your team do at Cartier?


Cartier’s Data Office main mission is to accelerate our digital transformation by enabling state-of-the-art analytics within the Maison, and by developing end-to-end solutions to support our business and to generate value for both our users and clients. To achieve our mission in a scalable, secured and governed way, we are organized around two pillars: Data & AI Delivery and Data Transformation.

On one side we deliver concrete business driven use-cases, and on the other we prepare the  organization for the strategic adoption of emerging capabilities, such as GenAI and AgenticAI.


What is a must for someone who joins the team and what advice would you give to someone applying?


We are always looking for people with a natural curiosity, huge technology savviness and a strong desire to develop their business acumen in luxury and retail. Depending on the position, applied mathematics and statistics, coding skills and cloud engineering fundamentals can be required to be quickly onboarded. Data and AI are a constantly evolving field, and we expect our teams to learn continuously, explore new approaches and train themselves frequently on new solutions and services. It is an enabler of the Maison’s strategy and if leveraged properly, it becomes a real competitive advantage.


What was the most memorable moment in your Cartier journey?


A few years ago, I started to write a few lines of code to solve a well-known Supply Chain problem. Those few lines in Python, running initially on my personal laptop, quickly became our first machine-learning model and, luckily, it was accurate enough to consider deploying it! We spent the following two years rolling out our first artificial intelligence project, involving most Cartier teams and traveling around the world to explain the approach and train our staff. The model has been refactored several times since its launch, but it is still live!