Teams at LexisNexis

Lead CEMEA product strategy and cross-country transformation programs, aligning global and local product priorities. Manage planning, milestones, dependencies, risks, reporting, portfolio reviews, and organizational change. Drive AI adoption across product teams, including generative and agentic AI use cases, workflows, and skills. Analyze product data to support regional decisions and advise the VP Product through executive presentations, reporting, and priority coordination.

Lead design and validation of AI-driven legal product capabilities: develop NLP/LLM and generative AI solutions (RAG, prompts), design agentic workflows, build retrieval/hybrid search strategies with embeddings and vector DBs, analyze large legal datasets, establish model evaluation best practices, translate results into product recommendations, collaborate with product and engineering, and mentor junior team members.

Leads architecture, implementation, and scaling of production ML and LLM systems for legal products. Builds RAG pipelines, agentic applications, hybrid search, APIs, microservices, data pipelines, and model-serving infrastructure. Establishes reusable AI frameworks, deployment and observability practices, and CI/CD standards while optimizing latency, reliability, scalability, and cost. Partners with data scientists to productionize models and provides technical leadership in system design and engineering excellence.