Freelancer profile translated to English.

Description

At L'Oréal, I managed two AI platforms and led them to large-scale production.

The first is a Marketing Mix Modeling platform, at the heart of L'Oréal's Marketing Effectiveness program. It helps marketing directors steer their media investments through econometric models and AI agents, deployed in 10 markets.

The second is a Consumer Intelligence platform that analyzes millions of reviews for R&D and marketing teams with over 1,000 monthly active users in dozens of countries.

On a mission, I am involved at all stages: zero-based launch, scaling up, or reinforcement during a critical phase. I work directly with technical teams on architecture, model choices, and trade-offs, and I manage the process up to production.

Before that, 4 years at Nickel structuring the data team and processes that supported the growth from 4,000 to 8,500 points of sale in Europe. And 7 years of IT consulting at Wavestone on transformations for major international clients.

Whether you have a product to build, a platform to stabilize, or a technical team that needs product direction, this is the type of mission I undertake.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

L'Oréal
AI Product Owner, Marketing Mix Modeling
LUXURY GOODS
January 2025 - Today (1 year and 7 months)
Paris, France
I led L'Oréal's Marketing Mix Modeling platform, central to the Marketing Effectiveness program. The tool allows marketing teams and brand managers to optimize their media investments using econometric models and budget scenario simulations.

I stepped in after a major release to stabilize the platform under tight deadlines, with a key objective: ensuring its availability for the 2026 budget planning cycle. Delivered on time, without major incidents.

I coordinated the deployment across 10 markets and launched an Agentic module designed to guide users through the workflow of optimizing and executing scenarios.

I managed a team of 11 people (full-stack engineers, data scientists, DevOps).
Product management Generative AI Machine learning Agentic AI Team Management
L'Oréal
Data Product Owner, Consumer Intelligence
LUXURY GOODS
April 2023 - December 2024 (1 year and 8 months)
Paris, France
I managed the delivery of an internal Consumer Intelligence platform that transforms consumer reviews from major retailers into product and market insights for R&D, Packaging, Marketing, and Commercial Strategy teams.

I joined after the launch of V1, deployed across 10 retailers and approximately 10 million reviews. I structured the processes and team to enable scaling: expansion to several dozen countries, significant growth in data coverage, and over 1,000 monthly active users.

I led the development of ML features: product deduplication, sentiment analysis, topic detection, categorization, and Share of Voice. I also led a project to improve topic detection models, involving annotation, training, and evaluation on multilingual datasets.

I managed a team of 13 people (full-stack engineers, data scientists, ML engineers, MLOps, DevOps, QA).
Product management Machine learning MLOps Data Management Data visualisation
Nickel
Project & Data Lead
BANKING AND INSURANCE
April 2019 - March 2023 (3 years and 11 months)
Paris, France
I built and managed a team of project managers and data analysts within Nickel's commercial department from scratch.
I structured the data tools and processes that supported the network's growth, expanding from 4,000 to 8,500 points of sale in Europe.
Regarding tools, I led the deployment of Salesforce CRM in five European countries, with over 100 users trained and operational from launch.

I also defined and implemented processes related to KYC, fraud, risk, and compliance in a highly regulated banking environment.

In parallel, I was responsible for the Product roadmap of Nickel's B2B tools, aligning with the Group's commercial strategy.
Project Management Salesforce Data Management Team Management Product roadmap