> Mener une feuille de route data résolument orientée business tout en étant appuyée sur des outils et modèles à l'état de l'art, démocratisant l'usage des données, portée par des équipes data proches des métiers et proactives> Prioriser un portefeuille de produits et de capacités d'études en fonction de leur ROI, équilibrant les rôles d'offre de services et d'acteur de la transformation people/process/tech> Manager une organisation matricielle équipes managériales (data engineering, data analytics, data science) / product teams (data as a product, interactive products & ML products) dans une organisation SAFe> Faire adopter des pratiques de gouvernance des données au travers de l'appropriation des données (self-service data & analytics) par des ambassadeurs métiers> Décliner et challenger en continu un operating model et une architecture data cohérents afin de maximiser le flow et la valorisation des assets.

Business Development and Solutioning Lead, Luxury and Consumer ProductsResponsibilities:* Identifying and developing new business opportunities* Developing and implementing go-to-market strategy driving growth and revenue* Building and maintaining relationships with key decision makers* Assessing client needs and delivering tailored solutions* Deal shaping & bid management* Leading technical solutions and teamsSkills Utilized:* Strategic thinking* Problem-solving* Technical expertise in data-related solutions* Strong ability to bridge the socio-technical gap between business, data and ITRecurring Business Topics:* 1-to-1 and 1-to-many marketing: shopper analytics & activation* Retail strategy optimization: assortment optimization, wholesale analytics* End-to-end predictive & resilient supply chains* Sustainability: compliant & responsible sourcing, traceabilityRecurring Data Enablement Topics:* Data Estate Modernization* Data Trust: Data Governance & Data Quality* Data factories & self-service analytics* Analytics and Machine Learning products adoption

Responsibilities:* Developing and implementing data & analytics strategy to support overall business objectives in Retail sector* Leading data engineering, data science and analytics efforts* Providing insights and recommendations through advanced analytics, data science and data visualization with a strong focus on business use cases such as Marketing, Customer Knowledge, Loyalty, Assortments, Pricing and Promotion* Building and managing a team of data engineers, data scientists and analytics professionals* Conducting studies and providing insights to the Executive Committee and CEO* Collaborating with cross-functional teams to ensure data-driven decision makingSkills Utilized:* Strong leadership and management skills* Strategic thinking and problem-solving* Technical expertise in data engineering, data science and analytics* Strong ability to bridge and explain business, data and IT issues

• Research project leadership & management: in-house, nationally funded, or for international agencies.• Full stack development of scientific tools: PoC, prototype, research reports, quality assessment, DevOps– Gather operational needs from engineers and business developers– Propose and implement ad hoc solutions, deterministic (physical models of buildings and systems) orstatistical/stochastic (buildings data analysis, clustering, regression, modelling)– Validate models using measures and survey data– Present tools and results of studies through relevant interfaces and visualizations– Coordinate R&D works and communicate the results to diverse audiencesex.: tools for statistical and stochastic modelling of building occupancy (Bayesian inference for predictinghousing and social parameters, Markov chains for simulating daily occupant activities and power loads)• Implementation of a high TRL software production infrastructure : Propose, set up and maintain CI pipelines• Knowledge transmission to engineers, developers, clients, students:– build and share a global awareness of needs, methods and tools– Transmit knowledge in math, modelling, implementation and deployment– Provide support on tools and libraries• Management of engineers, interns, PhDs (optimal control, machine learning for fault detection)

Développement de composants pour la bibliothèque de simulation thermique dynamique de bâtiment SIMBAD du Centre Scientifique et Technique du Bâtiment (CSTB)

Conception et développement d'un schéma numérique pour la résolution sur des maillages non-structurés d'un système d'équations couplant les équations de Navier-Stokes dites ”à faible nombre de Mach” à un ensemble d'équations de bilan pour des quantités scalairesManuscrit en ligne : http://tel.archives-ouvertes.fr/tel-00483598/

* Development of a mesh-adaptive method for the Burgers equation* English->French translation of courses on numerical methods in CFD