Jobs 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.

Support the Senior Product Manager in shaping and delivering SSRN product enhancements. Write user stories and acceptance criteria, gather requirements, manage and prioritize the backlog, support Agile sprint ceremonies, track releases in JIRA and Aha, prioritize defects, produce analytics reports, and assist with discovery, launch readiness, stakeholder communications, and collaboration with engineering, analytics, operations, content, and data science teams.

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

Drive new commercial opportunities for Reaxys by generating leads, engaging prospects, and supporting deal progression. Represent the product at industry events, share market insights and identify whitespace, and collaborate with sales, product, and marketing to shape GTM initiatives and proposals.

Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.

Build and maintain dbt models, semantic layers, data quality systems, and AI agents supporting marketing dashboards and decision-making. Develop evaluation frameworks, UAT environments, and production release processes for AI products. Partner with marketers, Data Ops, and technology teams to translate business questions into reliable data solutions, while documenting systems and maintaining engineering standards.

Lead content partnership marketing for LeapSpace by developing value propositions, messaging frameworks, co-marketing programs, partner approvals, promotional campaigns, and sales enablement assets. Collaborate with Product, Legal, Communications, Sales, partner stakeholders, and regional marketing teams to ensure consistent, compliant, customer-focused positioning. Manage partner relationships, global initiatives, announcements, events, webinars, collateral, training materials, and post-launch go-to-market priorities in a matrixed AI and research technology environment.

Leads architecture and evolution of Snowflake-based operational data platforms, including real-time ingestion, AI-enabled capabilities, API integrations, data modeling, governance, and secure enterprise data flows. Partners with engineering, data, and business stakeholders to define roadmaps, standards, and technical direction while troubleshooting complex systems and communicating architecture decisions to technical and executive audiences.

Develop and align global go-to-market strategies across customer personas and enterprise offerings. Translate market and customer insights into priorities, initiatives, metrics, governance, and commercialization plans. Facilitate senior stakeholder alignment in a complex matrixed organization, support product launches and portfolio changes, and monitor performance to improve growth, customer value, and commercial execution across healthcare markets.

Lead the Learning & Performance team to design and implement a global sales and customer success curriculum, ensuring alignment with business strategies and measurable performance outcomes.