Teams at Elsevier

Drives adoption, retention, renewal, and growth across academic institution accounts. Builds relationships with academic leaders and faculty, identifies adoption risks and expansion opportunities, delivers learning-focused onboarding and training, and aligns stakeholders around product value. Uses CRM systems, usage data, and account plans to support engagement, QBRs, renewals, and customer outcomes.

Leads complex data discovery, enrichment, curation, and AI-driven research initiatives. Develops data pipelines, enrichment models, taxonomies, ontologies, knowledge graphs, and intelligent workflows. Partners with product teams and customers to translate insights into product improvements, manages end-to-end projects, establishes quality standards, mentors junior colleagues, and drives continuous process improvement.

Lead the architecture, development, operation, and optimization of scalable data pipelines and reporting services for Elsevier’s Search and AI Platform. Own AWS infrastructure, data quality, observability, governance, reliability, and performance. Partner with product and engineering teams on technical delivery, mentor engineers, establish software engineering standards, and contribute to broader platform architecture and roadmap decisions.