Teams at RELX

Own AI-powered product capabilities from discovery through launch and adoption. Translate customer and business needs into requirements, prioritize backlogs, write user stories, define acceptance criteria, and collaborate with Engineering, Data Science, UX, and business teams. Support customer discovery, experimentation, testing, demonstrations, and continuous improvement while tracking product success metrics and promoting transparency, privacy, reliability, fairness, security, explainability, and customer trust.

Own complex analytics projects from business questions through delivery, developing reliable data products and solutions. Partner with product managers, analytics engineers, technologists, and senior stakeholders to shape data-driven strategy. Apply data preparation, blending, governance, and emerging AI techniques while coaching junior colleagues in analysis design, stakeholder engagement, and project management.

Leads multiple distributed engineering teams supporting SciVal’s large-scale research analytics platform. Sets technical strategy, architectural standards, and roadmap execution across frontend, backend, data, and quality engineering. Develops engineering leaders, manages workforce planning, and drives platform modernization, reliability, security, and operational resilience. Partners with Product, Data, Architecture, UX, customers, and commercial stakeholders to deliver analytics, AI-assisted, search, and agent-ready capabilities.