Teams at LexisNexis

Lead the design, refactoring, testing, deployment, and operational support of production-grade generative AI applications. Build agentic systems using retrieval, embeddings, reranking, LLMs, and advanced search. Improve reliability through resilient architecture, observability, validation, testing, monitoring, and incident response while optimizing latency, scalability, token usage, cost, and retrieval quality.

Implements pricing strategy for the Small Law Business Segment by responding to pricing inquiries, developing proposals, supporting deal approvals, and completing contract business terms. Analyzes pricing data, reconciles discrepancies, provides benchmarking and pricing guidance, supports renewals and upsells, addresses cost-recovery questions, and recommends pricing improvements to senior colleagues. The role collaborates with sales, segment, and legal teams and requires strong organization, communication, quantitative ability, and deadline management.

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.