Jobs at RELX

Own and grow revenue across a portfolio of strategic financial services accounts. Develop and execute account plans, engage C-suite stakeholders, coordinate cross-functional teams, manage pipeline and forecasts, identify expansion opportunities, and represent LNRS in executive meetings to drive enterprise-wide adoption and long-term customer value.

Lead end-to-end implementations of the CounselLink legal operations platform by gathering requirements, designing scalable configurations, testing, training, troubleshooting, and managing project scope, timeline, and stakeholder relationships to ensure successful adoption and post-launch support.

Support legal content operations by conducting legal research and document analysis, managing content lifecycle and vendor relationships, developing dashboards and reports, and driving automation and continuous improvement across cross-functional teams to deliver high-quality legal content.

Provide investigative and analytical support to government clients to detect and mitigate fraud in Social Services. Design methodologies, analyze large transactional datasets, use OSINT, develop automated scripts (SQL/Python/R), create customer-facing insights and presentations, resolve data quality issues, and support sales and solution teams. Lead process improvements and special projects.

Lead development of NLP and ML solutions for large-scale legal, news, financial, and business corpora. Build, train, evaluate, and deploy traditional and deep learning models (including LLMs), design scalable pipelines, evaluate SOTA tools, partner with product and engineering teams, and mentor junior staff while contributing to model monitoring and production best practices.

Design and deliver automation and integration solutions for IT operations across hybrid datacenter and cloud environments. Build APIs and data pipelines, automate hardware and cloud provisioning, apply IT governance, use AI-assisted tools, mentor engineers, and improve observability and reporting for operational effectiveness.

Provide deep technical product knowledge and demonstrations, respond to RFPs/RFIs and security questionnaires, build proofs of concept and sales enablement materials, run webinars and trainings, collaborate cross-functionally to solve customer problems and drive sales. Writing and public-speaking intensive; frequent client-facing demos and up to ~25-30% travel.

Manage a portfolio of strategic enterprise accounts to drive adoption, scale, and value from an AI SaaS solution. Lead onboarding, success plans, QBRs, health checks, change management, and cross-functional advocacy to identify upsell, mitigate risk, and ensure retention. Track AI adoption and usage metrics and translate them into value stories for clients and internal stakeholders.

Design and develop .NET-based services and web applications, research and build proofs-of-concept, implement CI/CD and testing practices, resolve defects, and document technical findings to support product roadmaps and continuous improvement.

Review, edit, and audit AI-assisted legal opinions and caselaw content for accuracy. Identify legal issues, determine precedential impact, apply history/treatment lettering, verify source material, meet production targets, resolve complex editorial questions, and suggest guideline or workflow improvements.

Support teams in preparing and maintaining AI-ready data by assessing data readiness, improving data quality and metadata, documenting lineage and ownership, and advising on governance and retrieval suitability for AI systems. Collaborate with data engineering, AI, and governance teams to create checklists, guidance, and remediation recommendations without owning pipelines or technical implementations.

Lead and manage data engineering teams to build and maintain high-quality data pipelines, implement automation and performance scripts, integrate LLMs/Agentic AI, collaborate with product and engineering, oversee data modeling, ensure data quality, and support SEC-related data solutions.

Lead global AI-first transformation for legislative content: define strategy, prioritize AI-enabled content generation and workflows, deploy editorial AI tools, set standards, measure quality and outcomes, and build cross-functional capability and adoption.

Lead product management for Secondary legal content (Treatises, Jurisprudence, Practical Guidance). Define roadmap, requirements, and success metrics to optimize content for AI and search retrieval. Diagnose retrieval gaps, partner cross-functionally with technology, operations, SMEs, and international teams, and drive features from concept to release informed by customer insights.