Freelancer profile translated to English.
Back to original languageAbout Florent
Experienced leader in emerging data practices. I have spent the last 8 years building data-centric products for large companies. My two lives - one as a consultant, the other as a data scientist - now help me coordinate C-level business owners with development teams to build the RIGHT product.
How can I help you?
- Business products embedding data-driven capabilities (DS, Machine learning & AI)
- Data platforms (Data lake/Data warehouse) and their exploitation
- Data governance products and practices (MDM, Data catalog...)
The 4 convictions that guide my daily life as PM or PO:
- Popularization -> A relevant product requires business buy-in. Business buy-in requires understanding the product, however dry it may be.
- Co-construction -> Development teams are not echo chambers. A good product is built collaboratively.
- Quality -> We do not develop features that we cannot test.
- Delivery -> Go-live is always priority #1. Nothing stays in the box.
French
Native or bilingual
English
Fluent
Can work on-site
Villejuif (up to 10km), Paris (up to 10km)
Experience
- PMUProduct owner / Product managerENTERTAINMENT AND LEISUREApril 2021 - February 2024 (2 years and 10 months)Paris, France
Context
PMU wishes to modernize an obsolete part of its core IT system by building the "DataHub" application from scratch. This new system must allow:- Real-time distribution of data on current and upcoming French horse racing events to PMU's internal systems and international partners.
- Exposure of a horse racing repository providing details on the careers of horses and industry professionals.
Role
During the mission, as the product scope grew, I held two roles:- Product Owner: Feature design, coordination with the development team, guarantor of quality and delivery.
- Product Manager: Coordination with business owners and other SAFe teams, product roadmap construction, change management with clients.
Results Achieved
- MVP launched after 2 years.
- Transition from a TMA solution to a 100% in-house solution using state-of-the-art technologies.
- Evolution of the functional scope.
- Reduction of TCO from €1M to < €500k.
- L'Oréal S.A.Data consultantLUXURY GOODSJuly 2020 - January 2021 (6 months)Clichy, FranceManaged the "Data Quality" project within a cross-functional program involving Finance, Operations, and R&D, aimed at implementing an intellectual property tax management system. The project required integration, auditing, and realignment of various data sources and quality levels.
Role
- Exploratory analysis (via Python) of different sources.
- Data quality assessment, identification of symptoms, and measurement of fiscal impacts.
- Definition and monitoring of the data quality improvement plan.
Tools
- Python
- Planning Analytics
- GivaudanData scientist & Product ownerCHEMICALApril 2016 - September 2019 (3 years and 6 months)Argenteuil, France
Context
Givaudan is the global leader in the creation and distribution of fragrances and flavors. Within the company, the "Digital Strategy & Innovation" department, to which I was attached, serves as the organization's spearhead for new technologies. It conducts POCs leveraging new trends or technologies and then assists the IT department in industrializing the most promising products.Role
- Lead data-centric POCs.
- Develop data science algorithms.
- Ensure the transition of validated POCs to the IT department.
- Conduct technological and sector watch.
Achievements
- Implementation of an automatic labeling model for olfactory notes.
- Implementation of a forecasting model for the price of certain raw materials.
- Implementation of an internal recommendation system to suggest to sales representatives a product that best matches customer expectations from a large catalog of references.
- Definition and implementation of analytical components embedded in a new fragrance design tool.
- Utilization of marketing benchmarks and correlation of ingredient patterns with hedonic characteristics.
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Education
- Master in managementEDHEC Business school2014Cursus classique d'école de commerce, couvrant les fondamentaux de la gestion en entreprise : - La théorie économique (Micro-économie, Macro-économie, Institutions et Marchés, Statistiques...) - La finance (Comptabilité, Finance d'entrprise, Finance de marché...) - L'organisation en entreprise (Gouvernance, Gestion de projet, Conduite du changement...) - Les différents métiers (Operations, DAF, SI, RH, Marketing...)
- MSc. Strategy & organization consultancyEDHEC Business school2014Mastère spécialisé mené en parallèle de la dernière année du programme grande école. Cursus centré sur les métiers et l'industrie du conseil.