Profil international (EU, Asie, US, Amérique du Sud), expert en technologies AWS, Azure, GCP, Generative AI, MDM, Big Data, AI/ML et BI, CRM, ERP.
Avec plus de 25 ans d’expérience dans la gestion d’équipes IT, cloud et data management, j’ai acquis une expertise au service du business dans des environnements complexes, internationaux et fortement régulés.
Compétences clés :
- Gouvernance des données
- Migration vers le cloud
- Élimination des silos technologiques et métiers pour une innovation rapide grâce au cloud et à la data
Méthodologies employées :
- Working Backward
- Experience Based Acceleration
- SAFE
Secteurs d’intervention :
Banque, Finance, Assurance, Conseil, Santé, Hôtellerie, Gaming, Commerce de détail et B2B, Juridique, Industrie, Sourcing, Logiciels, Pétrole et Gaz, F&B, Luxe
Réalisations :
- Élaboration de schémas directeurs data et cloud
- Program Management et gestion du changement
- Conformité aux exigences de protection des données (GDPR)
Je suis passionné par l'innovation technologique et le développement de solutions stratégiques pour les entreprises cherchant à maximiser la valeur de leurs données (Data Driven) et à réussir leur transformation digitale.
Expériences professionnelles
Transition Manager
Global Data Lead – Pernod Ricard (Freelance)
février 2024 - aujourd'hui
• Consolidation of global data (BI reports and other data products) for all countries and domains, with a focus on consolidating redundant products.
• Strategy for the complete migration of global data to a new cloud platform, analyzing best cloud practices at an international level.
• Design and implementation of a new unique Data Landing Zone tailored to the group’s needs.
• Definition of new best practices (team, methodology, etc.) for managing the Landing Zone and anticipating long-term data governance.
• Creation and management of an initial dedicated Squad (reference squad) for migrating data product workloads (Lift & Shift, rewriting).
Chief Data Officer - For a Major
Swiss Luxury Group - Transition Manager
décembre 2022 - février 2024
Definition of the data strategy and governance for a pilot luxury brand within the group on GCP (Google Cloud Platform).
• Management of Data teams (Data Engineers, Business Intelligence, Data Governance, AI/ML).
Creation of autonomous Squads integrated into various business units, and the establishment of a core team to manage Big Query and incoming data flows for this first house.
• Decision to make the teams of this first House autonomous with their own data management environment on GCP to address the weaknesses of the original core data model. Intensive use of Big Query in CI/CD integration and utilization of best practices in Infrastructure as Code.
• Implementation of Automatic Testing with the aim of making the data reliable and trustworthy and to produce Data Products.
• Implementation of a Machine Learning (AI) product to assist buyers in better defining their needs based on photos of past manufactured and sold products.
Hermes - Transition Manager
Global Public Cloud and Private Cloud Director -
septembre 2022 - novembre 2022
• Director of the 4 Global Infrastructure Group teams: Public Cloud (AWS), Private Cloud, Data Platform (Snowflake, SQL, Oracle etc...) and the global network.
• Managing day-to-day operations.
Head Of Data –- Transition Manager
Europ Assistance, Saint-Denis
mars 2022 - mai 2022
Managing the first Data program and its associated Task Force
• Realigning business expectations with the data product in the Cloud.
• Managing the service providers with the expected targets.
HEAD OF DATA – Transition Manager
MANO MANO, Paris, France
avril 2021 - mars 2022
Management of all Data teams (Data Engineers, Business Intelligence, Tracking, Scrapping, Data Governance, DevSecOps, AI / ML
• Definition of the group's Data strategy.
• Recruitment and management of international teams
• Cloud based product building through Experience Based Accelerations
Some Achievements:
Deployment of a data governance framework for all data and KPIs with a pragmatic strategy designed for scale-up (Lineage, monitoring, Data Trust, Compliance)
Launch of a self-service initiative to facilitate data consumption, visualization and analysis.
Structuring of a scrapping team in order to respond to all customer's business outcomes
Restructuring of the Data Engineering team to be closer to the Business (integration of Data and BI engineers within other trains)
Structure the BI team to achieve business outcomes and not just create generic dashboards without actionable decisions, reconciliation with business teams.
Elimination of silos between the different Data teams so that projects become product-oriented projects.
PROFESSIONAL SERVICES PRACTICE LEAD – AMAZON WEB SERVICES - AWS
mai 2018 - avril 2021
Lead several practices verticals including Banking, Finance Insurance, Gaming, Telecoms, Hospitality, Retail (CAC40 customers and similar)
• Managed hiring and various teams made of Advisory, Big Data, AI/ML, Infrastructure, Security, Dev/Ops, IOT consultants
• Managed Presales as well as proposals’ drafting, Develop and field test new offers
• Worked with Service teams to build new features based on customer needs.
• Offered trainings on new offers to other European branches.
• Provided consulting on Cloud Best Practices and Change Management for large firms wishing to move to the cloud.
Some Achievements:
Successfully removed silos and built a sustainable mechanism for a large Hospitality customer to speed up the transition to cloud Agility, reducing design and built times from months to weeks.
Supported a Gaming company in defining all its business and technical challenges while helping to find the business and technical solutions to meet their needs, with a clear strategy and a feasible two years timeline.
Used an engagement to rewrite a complete B2C banking application in 4 months, to show a large banking institution what a restructured organization can do when working as Double Pizza Teams.
Building a team, European early champion in mastering SageMaker the Amazon AI /ML environment.
Lead the MDM / DATA GOVERNANCE practice
PRACTICE LEAD – BUSINESS & DECISION – ORANGE (OBS)
septembre 2017 - mai 2018
Managed hiring, staffing and various project teams
• Managed Presales as well as proposals’ drafting
• Developed new Data offers
• Developed editors’ partnerships
• Offered training to other European branches.
Some Achievements:
Saved a Global Master Data Management deployment for a large Financial institution after the previous integrator failed to define business needs and the proper strategy and methodology to align all entities. Built a team and personally ran the project until project was back on track
DIRECTOR - COGNIZANT – Europe Enterprise
Information Management, MDM, Big Data, BI, Machine Learning
janvier 2015 - septembre 2017
Transversal/Horizontal functions to support different vertical departments, mainly Life Science and Banking/Insurance but also Services and industry for EIM topics (MDM, Big Data, Business Intelligence, Machine Learning)
• Onshore /Offshore Team Management
• Presales Support to Verticals
• Consulting
• Project Coordination in Europe.
Some Achievements:
Supported a global insurance company in reassessing its Data strategy with the right Master Data Management Solution and analytics structure to reduce cost and meet its global business needs.
Technical and Methodology Consultant on ERP, CRM, MDM, CMS/GED
INDEPENDENT/FREELANCE CONSULTANT | Paris
octobre 2011 - décembre 2014
Processes audit for SME as well as multinational companies before deploying the most adequate technical solutions, to answer local as well as international needs.
• Specialized in MDM (Master Data Management).ERP (Enterprise Resource Planning), CRM (Customer Relationship Management, CMS (Content Management Solutions).
• From requirements analysis (audit, specifications’ drafting, Request For Proposals) to the project management, and the training phase.
Main Customers include :
• TECHNIP - Project manager ERP/MDM
• RAJA - Project Manager (ERP, CRM, MDM Projects),
• ADVANCY- Consultant (Technical Infrastructures, collaboration tools)
• MICROPOLE - In charge of Setting up MICROPOLE US Office (New York City).
NEXIAN CORPORATION & NEXIAN WATCH, Hong Kong | Shanghai
mars 2003 - octobre 2011
Team and Project Manager for consulting and integration company specialized in ERP, CRM, CMS et MDM, in Shanghai and Hong Kong, for multinational companies in China et and in the rest of Asia (Taiwan, Tokyo, Bangkok, Singapore mostly).
• Team size of 20 consultants and other support staff Handling project size between RMB 1 million to RMB 50 millions
• Assisting major MNCs to reach international standards in China
• Providing Management audit and consulting to customers before deploying supporting hardware and software solutions, from the definition of needs to the implementation and training.
• Specializing in ERP processes, CRM (Customer Relationship Management), CMS (Content Management Solutions), and MDM (Master Data Management).
NEXIAN WATCH Subsidiary specializes in technological and competitive analysis to companies that are facing threats from the Asian markets, or that need to analyze local investment opportunities or partnerships.
- Audit and consulting on hardware, software and the companies behind the technologies.
- Customers’ representation during negotiations and events organized on their behalf.
Études et formations
BBA en gestion internationale et études asiatiques,
PACE UNIVERSITY, New York, Etats-Unis
BBA Histoire, éco et culture Asiatiques,
PACE UNIVERSITY, New York, Etats-Unis
Diplôme d’études américaines,
SQUAW VALLEY ACADEMY, Californie, États-Unis
Langues
Anglais - C2
Autres compétences
🔹 Leadership & Management de transition
Prise de poste rapide en environnement complexe ou en crise (CDO, CTO, CIO)
Stabilisation de programmes Data / Cloud / IA critiques
Structuration de la gouvernance Data & AI à l’échelle internationale
Création et pilotage de squads Data (Data Engineers, BI, Gouvernance, ML)
Alignement Comex / IT / Métiers
🔹 Gouvernance Data & AI
Mise en place de frameworks de Data Governance (ownership, stewardship, golden record)
Définition de politiques d’usage de l’IA (sécurité, conformité, confidentialité)
Encadrement des risques liés à l’IA générative en entreprise
Structuration de boards de gouvernance Data & AI
Déploiement de modèles opérationnels pour éviter le “shadow BI” et le “shadow AI”
🔹 Stratégie Cloud & Architecture
Définition de stratégies Single Cloud pragmatiques
Conception de Landing Zones sécurisées (Azure, GCP, AWS)
Migration de plateformes Data vers le cloud (Lift & Shift & réécriture)
Architecture Data Fabric & rationalisation des silos
Industrialisation CI/CD & Infrastructure as Code
🔹 Data & Analytics avancés
Redressement de programmes MDM internationaux
Implémentation de solutions MDM augmentées par l’IA
Structuration de Data Products testés et industrialisés
Mise en place d’automated testing pour fiabiliser les données
Transformation des environnements BI intégrant l’IA générative