Jobs at Elsevier

Develop and support scalable Salesforce CRM solutions across requirements gathering, design, development, testing, deployment, integrations, and optimization. Serve as a trusted technical advisor to stakeholders, estimate project work, review code, troubleshoot integrations, document solutions, and resolve complex technical issues. The role requires advanced Salesforce certifications, experience with enterprise integrations and Agile delivery, and strong communication with technical and business audiences.

Leads the cybersecurity governance program, including policies, standards, data lifecycle governance, data classification, GRC risk management, compliance certifications, executive reporting, and security awareness training. Redesigns role-based and new-hire training, manages phishing simulations, measures program effectiveness, and advises technology and business stakeholders on cybersecurity governance, risk, and compliance.

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.

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.

Leads the design, support, governance, and continuous improvement of Microsoft 365 and Power Platform solutions. Manages collaboration and productivity technologies, including Teams, SharePoint, OneDrive, Copilot, and Power Platform, while ensuring security, compliance, scalability, and user adoption. Acts as a technical escalation point, partners with stakeholders, supports the EUC roadmap, mentors colleagues, and contributes to agile delivery and knowledge-sharing initiatives.

Own product strategy and roadmap for a substantial area of Interfolio’s Faculty Information System. Lead customer discovery, prioritization, product development, AI opportunity validation, and delivery from concept through launch. Build business cases, inform pricing and packaging, collaborate with design and engineering, and coordinate go-to-market activities. Use customer insight, data, technical fluency, and generative AI to improve product outcomes and business value.

Leads regional solution sales across Northern Europe, driving new business, renewals, upselling, cross-selling, forecasting, and revenue growth. Manages, coaches, and develops Solution Account Managers while overseeing account planning, complex negotiations, and senior customer relationships. Partners with Customer Success, Product, Marketing, Finance, Pricing, and Sales leadership in an international matrixed organization. Requires significant B2B technology or complex-solutions sales experience, strong commercial judgment, and demonstrated people leadership.

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.

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.

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.