Teams at Elsevier

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.

Leads global commercial strategy workstreams for a healthcare education portfolio, evaluating market opportunities, investments, pricing, monetization, partnerships, and regional prioritization. Conducts data-driven research and builds revenue models to guide portfolio and product decisions. Collaborates with Product, Strategy, Marketing, Sales, and Customer Success teams across global markets, translating customer, competitive, and market insights into recommendations that support sustainable growth.

Lead technical presales activities for data, software, analytics, and AI solutions. Conduct customer discovery, translate business and scientific needs into use cases and architectures, deliver tailored demonstrations, develop proposals, and support proofs of concept and pilots. Advise customers on LLMs, RAG, agents, knowledge graphs, and responsible AI while collaborating with Sales, Product, Professional Services, and Marketing teams to ensure feasible, scalable solutions.