Member of AXA Partners CLP extended ExCom and member of AXA Partners Leadership Circle.- Definition of Data & AI strategy and priorities- Animation of Data & AI Governance (incl. Data & AI Board in CLP ExCom)- Deployment of Data Management framework- Extraction, modelling and sharing of data assets- Design, creation and maintenance of analytical capabilities- Design, creation and maintenance of machine learning models and AI capabilities- Monitoring and promotion of business value delivered at every levels (from employees to senior leaders)- Cartography, upskilling and training of data users in the scope- Management of Data & AI team members- Collaboration with Data & AI family (AXA Partners and AXA Group)Transversal Leader for AI for ALL Stream of AXA Partners: - Define AXA Partners AI for ALL strategy & phases roll-out - Contribute to axapartners.ai strategy- Support deployment of target Gen AI for ALL capabilities (Secured GPT, Copilot etc.)- Codevelop with People & Communications (HR) on training, change and communications on AI/GenAIManagement of ~ 20 internal ressources + 4-8 external consultants and CLP Data & AI IT investments (~1M€)

- Contributor to AXA Partners Global Data strategy definition and deployment supporting the CDO mandate> Help building a common framework to improve overall Data maturity in the organization and alignment> Acting as Deputy CDO, identify levers and enablers to move up the value chain in Analytics and transform durably employees’ habits around data> Communicate, present and share progress to different governance bodies (local governance to ExCom members) - Owner of AP data culture Strategy (incl training and communication) to accelerate the transformation of AXA Partners into a data-driven company - Owner of data use cases strategy, portfolio and value assessment process> Establish vision and strategy of analytics deployment at AXA Partners> Compute a catalogue of use cases applicable at AXA Partners, defined with key business stakeholders> Deploy tools to compute data benefits and promote them in the governance bodies> Participate as analytics leader in the portfolio governance bodies to support use cases prioritization and promotion of data teams success stories> Drive data analytics systems decommissioning strategy and accelerate AXA Partners data solutions modernization> Owner of R&D data, data science innovative products and Global Product Owner on transversal analytics capabilities - Support heads of data teams (BU and Regions) on Analytics & Culture to adapt their local strategies> Contribute to local strategies, business use case identification and prioritization (considering value vs costs)> Support data teams in the provisioning of data capabilities ( ~100 resources)> Drive data teams in the deployment of backlog / budget / capacity management practicesContribute to data skills hiring and training> Support the implementation of complex data initiatives (reporting, analysis or science)- Manage a Center of Expertise on Analytics & Science (methodologies, practices, standards & guidelines) (~8 resources)

- IT Owner of Data Platforms and Global Owner of AXA Partners Data Engineering Framework> Select, deliver and maintain the different components of the Data Platform - Big Data stacks in cloud environment (ADLS, Databricks, ADF, Azure DevOps etc)>Define Datalake solution urbanizations and take part in the development and deployment of data business applications (CI/CD, DevOps)> Make Technology watch and anticipate market trends to be added to the target Data Platform Architecture> Deploy & manage IT Service Continuity strategy, critical assets recovery processes and FinOps activities> Perform regular QoS assessment, implement SLAs with senior stakeholders and manage incidents processes and customers communication> Manage relationships with editors, solutions providers, and representative of AXA Partners for AXA Group on Data EngineeringSuccessful Migration of all AXA Partners data assets to the Cloud leveraging cutting edge technologies to enable business next gen use-cases while securing current production usages : 50+ data applications, 100+ advanced users, 1000+ consumers across AXA Partners worldwide. - Building a central Analytics Center of Expertise (Data Engineering, BI, Data Analysis, Data Science) to accelerate local analytics data teams deployment in AXA Partners key BU/Regions (CLP, Specialized Insurance, Asia, S&A, Finance, HR) closer to business : > Defining Analytics norms, methodologies and best practices > Train, upskill and cobuild towards teams autonomy following different support models depending on the local maturity> Guild Leader of the AXA Partners Data Engineers community of practicesManager of 15-17 people (3 internal, 12 external, 2 interns) in the Central Data Engineering team (Data Engineers, DevOps, Cloud Engineers) across different locations (France, Spain), and the central Data Analytics/Data Science teams Operational budget holder of 2+ME for staff & non-staff

- Responsible of the Analytics Platform Strategy and deployment of analytics solutions (Datalake, Data Science studios, reporting dev environments etc.) across different AXA Partners teams/departments (technical excellence, finance, operations, data teams etc.) enabling any business initiatives - Development and deployment of different data products (fraud detection engines, chatbot, customer satisfaction etc.) with high business value redefining the operating model for build and run around mature analytics products (e.g. fraud) leveraging the organization to decentralize the maintenance and the small enhancements to enable spreading & scaling- Manage R&D actvities :> Improvement of Calls center forecasts and workforce optimization with machine learning sophistication including LinEx loss function in the optimization program aiming at penalizing more underpredictions over overpredictions (project awarded by the Crédit Impôt Recherches)> Test technological maturity and readiness on key components for target game-changer business processes (voice bots, augmented agents etc.) Management of 5 people : 1 Lead DS (internal), 2 Data Scientists (external), 2 Assistant Data Scientists (interns)

- Building a multi-layered Fraud Detection application mixing business experts rules, unsupervised learning algorithms and supervised algorithms that gives fraudulent scores to assistance cases. Engine was deployed in production for different business teams/lines (Motor, Travel etc.) in France & UK with strong impacts on leakage detection and fraud management. - Development of a Calls Center forecast suite (short-term, mid-term and long-term models) on Roadside Assistance in France decreasing by 3 the average prediction error to secure budget, improve agents steering, quality of service and customer experience/satisfaction.- Development of an NLP/NLU algorithm to detect medical or sensitive information in free-text fields of different CMS to help complying with European regulation (GDPR)Machine Learning (Unsupervised, Supervised Learning), Statistics, Python, Spotfire, Hadoop (Cloudera), Impala, Hive, Spark, Github, Application DevelopmentManagement of 2 Assistant Data Scientists (interns)

Machine Learning (GLM, GBM, RF), Time Series modelling (SARIMA).Hadoop, Spark, Python, R, Spotfire. Big Data.

Travail sur l'étape du choix modal. General Linear Model (polytomique ordonné et non ordonné – régression logistique multinomiale, nested logit), Machine Learning (Random Forest, Decision Trees) logiciel R.

Traitement de données (Big Data), Etudes statistiques, Datamining, Modélisation, Apprentissage supervisé et non supervisé (K-means, CAH, régressions logistiques, de Poisson, modèles linéaires généralisés). SAS, SQL, Teradata.

Élaboration d’un rapport synthétique sur le logement étudiant, inséré au Rapport Public Thématique sur la Vie étudiante. Soutenance finale devant les présidents de section, des conseillers maîtres, des conseillers référendaires et des auditeurs.