.AXA Group Operations and Group Data, AI & InnovationIn recent years, significant work has been done to digitize AXA's business model. Nevertheless, due to massive technological changes, customers' expectations and behaviors have considerably evolved. Thus, we are convinced that we must accelerate our technological transformation to achieve our ambition to become an innovative tech-led company. Massive opportunities offered by data and new technologies arise both for our traditional insurance business and for new services to achieve our Payer to Partner ambition. AXA Group Operations sets the tone and must play its role as one of the major catalysts of AXA's global transformation.We are the ones triggering and empowering the evolution of our insurance business model through technology and innovation, driving its concrete implementation globally at speed, with a high quality of advisory and execution. Within AXA Group Operations, Group Data, AI & Innovation (GDAI) explores and scales the value of data, AI, digital transformation, emerging technologies (IoT, Geospatial, Blockchain, Quantum Computing, etc.) as well as innovative business ideas with the potential to disrupt the current insurance business model and to shape future opportunities to better partner in our customers' lives. GDAI and its spin-offs consist of 200+ inspiring minds located in Paris, Barcelona, London, Lausanne (on the EPFL campus), and San Francisco (on the Stanford campus) incubating and deploying solutions in co-creation and collaboration with AXA operating entities and strategic partners around the world.Purpose of the JobThe main mission of the AI Research Executive Manager is to leverage in-depth knowledge of R&D topics to represent and act as a spokesperson for the research team towards stakeholders, including business.This role is crucial to support the execution of the TDO and BOOST with a particular focus on transversal streams. The AI Research Executive Manager is also responsible for bringing business knowledge and opportunities to the R&D activity. Additionally, the position includes representing, when necessary, the Group Chief Data Scientist in various instances.Main ResponsibilitiesManage TDO-R&D interaction: Representing and translating the teams' expertise to support the TDO execution in general, and in particular for the transversal streams.Manage BOOST-R&D interaction: Representing and facilitating the teams' work and expertise to support BOOST execution in general, and in particular for the CV satellite and Portfolio Analysis Use-Cases.Keep up to date and deeply understand the technical details of current R&D relevant for BOOST and TDO, including (but not limited to) LLMs, Satellite Imaging, Computer Vision, Responsible AI.Be the business-tech expert in LLMs and influencing business and tech communities accordingly.General understanding of the other R&D topics being covered by the R&D teams
