Data & AI leader with extensive experience delivering complex, high-impact programs across multiple industries. For the last 5 years, my main mission is to turn AI — including Generative AI — into practical solutions with real business value. My work combines strategic guidance, customer engagement and hands-on deployment. I work confidently with C-Level executive teams, support presales activities for strategic accounts, and lead cross-functional teams to drive successful adoption and measurable results.
Leading SUEZ’s AI roadmap, advising C-Level and business unit directors to identify, prioritize and deploy high-value AI use cases - including several Generative AI initiatives -driving impact across Water & Waste operations.
Designed and rolled out a centralized AI platform integrating MLOps tools, Generative AI/LLM integration tools and accelerators to industrialize models in a secured and scalable environment.
Directing the cross-functional “AI for SUEZ” program, focused on exploring, prototyping and operationalizing Generative AI solutions enterprise-wide and the first bricks of AI Governance.
Built and animated an internal AI community (data scientists, engineers, business teams), promoted best practices and knowledge sharing.
Drove end-to-end AI delivery: from use case qualification and PoC design to industrialization and operational team adoption.
Main achievements (last 24 months):
• Delivered 50+ GenAI use cases, mainly RAG-based knowledge management, document automation and internal assistants. • Deployed a secured GPT environment adopted by 3,000 employees in 6 months, providing safe enterprise access to LLMs. • Rolled out a Generative AI platform used by 60 expert users for advanced prototyping and industrialization. • Reduced energy consumption by 10% in water plants and improved waste sorting quality through AI-driven optimization.
