Jobs at RELX

Own the roadmap, KPIs, and adoption of APIs, data services, bulk delivery, and AI-native interfaces for patent data. Translate customer and internal team needs into scalable platform capabilities, partnering with engineering and architecture on API design, reliability, performance, versioning, documentation, and modernization. Drive consistent data access across products, evaluate integrations and standards, prioritize production issues, support customer and sales conversations, and improve developer experience.

Own the strategy and roadmap for AI and semantic retrieval capabilities across a global patent corpus. Lead embeddings, search, clustering, translation, and AI enrichment initiatives; define quality evaluations and KPIs; guide build, buy, and partner decisions; coordinate engineering and data science teams; engage customers and stakeholders; and translate advanced AI capabilities into measurable product and business value.

Uses patent data and analytics expertise to define, evaluate, and improve AI-assisted patent intelligence products. Responsibilities include creating evaluation standards, reviewing AI outputs, identifying data and reasoning issues, shaping product use cases, collaborating with engineering and product teams, and presenting recommendations to senior stakeholders. The role supports portfolio comparison, competitor benchmarking, technology trends, licensing, M&A, patent summaries, and claim interpretation.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

Analyze complex insurance data to support business decisions, improve data quality, and resolve issues through validation, profiling, reconciliation, and root-cause analysis. Develop SQL queries, create Power BI reports, communicate insights to varied stakeholders, and support data onboarding, workflow automation, risk management, and process optimization. Collaborate with customers, data providers, and internal teams to improve operational efficiency and data lifecycle processes.

Own a product or significant area within Interfolio’s Faculty Information System. Develop product strategy and roadmaps, conduct customer discovery, prioritize opportunities, build business cases, identify AI opportunities, and guide products from concept through launch and ongoing improvement. Collaborate with faculty, researchers, institutional users, engineering, design, marketing, sales, customer success, and support while applying technical fluency across SaaS products, APIs, integrations, data, and architecture.

Designs, develops, tests, and supports reliable data engineering solutions for insurance data products. Responsibilities include data transfers, profiling, validation, quality management, issue resolution, data modeling, workflow management, code reviews, troubleshooting, and automation. The role collaborates with technical teams and business stakeholders to translate requirements into scalable, maintainable solutions while exploring AI-assisted engineering practices.

Leads regional solution sales across Northern Europe, driving new business, renewals, upselling, and cross-selling. Manages, coaches, and develops Solution Account Managers while overseeing forecasting, pipeline performance, account planning, and complex negotiations. Builds senior customer relationships and collaborates with Customer Success, Product, Marketing, Finance, Pricing, and Sales leadership in an international matrixed organization.

Leads business development for the UK Personal Lines Insurance Claims market, exceeding revenue targets, identifying new opportunities, and shaping sales strategy. Serves as a Claims subject matter expert, supports client engagements, builds senior stakeholder relationships, contributes market insight to product development, and represents the company at industry events. Provides leadership to a growing Claims sales team while collaborating cross-functionally with account management, product, implementation, and sales support teams.

Designs, builds, and operates reliable cloud infrastructure across AWS and Azure. Responsibilities include developing Terraform infrastructure as code, managing EKS and AKS Kubernetes clusters, maintaining CI/CD pipelines, improving security and cost efficiency, troubleshooting distributed infrastructure issues, implementing monitoring and alerting, and collaborating with engineering and architecture teams on platform standards and documentation.

Lead the architecture and evolution of a Snowflake-based operational data platform. Design secure, governed, scalable data warehouse solutions, real-time ingestion, API integrations, AI-enabled capabilities, and natural-language querying interfaces. Define data flows, schemas, roadmaps, architectural standards, and governance while collaborating with engineering, data, business, and executive stakeholders. Troubleshoot complex platform issues, guide technical direction, and promote modern data engineering practices across enterprise systems.

Partner with finance and operations to analyze performance, build and maintain budgeting/forecast models, validate and troubleshoot messy data, produce dashboards and variance/root-cause analyses, and deliver actionable insights to improve commercial outcomes.

Lead a global Learning & Performance team to design and deliver a sales and customer success curriculum, embed Challenger methodology, build assessments and certifications, align learning with commercial strategy, use data to measure impact, and partner cross-functionally to drive sustained behaviour change and performance.