Teams at Elsevier

Own complex analytics projects from business questions through delivery, creating reliable data products and solutions. Partner with product managers, analytics engineers, technologists, and senior stakeholders to develop data models, semantic layers, and AI-enabled analytics. Apply governance, influence data-driven strategy, adopt emerging tools, and coach junior colleagues in analysis design, stakeholder engagement, and project management.

Leads global and local clinical content publishing programs across books and digital products. Develops content strategy, portfolio roadmaps, business cases, and financial plans; manages localization, translations, platform integration, market analysis, performance metrics, and margin optimization. Partners with global stakeholders and business units, while coaching team members and supporting professional development.

Leads multiple distributed engineering teams supporting SciVal, a large-scale research analytics platform. Sets engineering strategy, architectural standards, and technology roadmaps across search, data, analytics, APIs, and platform integration. Develops engineering leaders, manages workforce planning and delivery, drives platform modernization, and establishes standards for quality, security, observability, resilience, and technical debt. Partners with Product, Data, Architecture, UX, Security, and customers to deliver AI-enabled, agent-ready analytics experiences.