Jobs at RELX

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.

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.

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.

Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.

Build and deploy end-to-end data science and AI solutions, including scalable data pipelines, machine learning and generative AI workflows. Translate product and business questions into measurable analytics use cases, analyze product data, establish evaluation and monitoring practices, and collaborate with product, engineering, and analytics teams to deliver business impact.

Writes and updates inheritance tax content, including research materials and practical guidance. Reviews AI-powered tax workflows for technical accuracy and practitioner relevance, collaborates on commissioned content, and contributes to the strategic direction of Tolley’s tax offering. The role requires expertise in inheritance tax, trusts, estates, and personal tax, strong writing and communication skills, and the ability to use AI tools critically in tax research and content creation.

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.

Leads the Strategic Partnerships function, managing and developing a high-performing team while driving revenue growth through alliances and partner relationships. The role translates commercial strategy into execution, owns forecasting and pipeline management, improves sales accountability, coaches managers, and collaborates with Sales, Marketing, Product, and Strategy. It also promotes effective use of Salesforce, Gong, and data insights to identify growth opportunities and manage performance.

Leads UK and Ireland strategy for Customer Data Management, using customer, market, regulatory, competitive and commercial insights to define priorities. Shapes propositions, positioning, packaging and business cases; translates customer needs into product, data, technology and operational requirements; leads cross-functional initiatives; measures customer value; and supports Sales, Pre-Sales and Marketing with value propositions and market narratives.

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.

Develop and align global go-to-market strategies across customer personas and enterprise offerings. The role translates customer and market insights into priorities, commercialization plans, governance, operating rhythms, and measurable growth initiatives. It partners with senior GTM leaders, leads planning for product launches and portfolio changes, identifies cross-persona opportunities and dependencies, and monitors performance through shared metrics and customer feedback. Success requires strong strategic, analytical, financial, facilitation, and stakeholder-influencing skills in complex, matrixed organizations.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

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.

Lead identification, development, and global deployment of AI and automation solutions to optimize forms and precedents content operations. Prioritize opportunities, collaborate with cross-functional teams, ensure governance and quality, integrate solutions, report outcomes to leadership, and drive continuous improvement and responsible AI practices.