What does your team do at Cartier?

Cartier Data Office’s 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 four pillars: Data Science & Analytics, Cloud Engineering, Product Management and Data Governance.

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 & analytics 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. 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!