Jobs at RELX

Drive adoption of LexisNexis Protégé among law firms and corporate legal teams. Build trusted relationships with senior legal stakeholders, translate workflows into AI-enabled solutions, deliver product demonstrations, support pre- and post-sales pursuits, and capture customer insights in CRM. The role is designed for a practicing lawyer or legal counsel transitioning into client-facing legal technology and innovation.

Lead complex, cross-functional programs spanning business areas, products, regions, and functions. Define strategy, roadmaps, governance, delivery plans, and success measures while managing risks, dependencies, resources, change impacts, and benefits realization. Align executives and stakeholders, communicate decisions, mentor project managers, and use AI and automation tools to improve planning, reporting, research, and delivery quality. The role operates in a global, regulated environment involving data, privacy, risk, and compliance.

Develop and maintain data attributes using multiple data sources, Python, ECL, Java, and related tools. Translate business needs into analytical solutions, validate data quality, troubleshoot defects, document logic, and support production delivery. Prototype machine learning and generative AI applications for attribute discovery, feature engineering, anomaly detection, testing, and documentation. Apply responsible AI, privacy, security, explainability, fairness, and governance practices while communicating findings and risks to technical and business stakeholders.

Leads MarTech architecture and engineering across marketing automation, customer data, CRM, analytics, web, and integration platforms. Manages and develops engineering talent, defines architecture standards, guides complex technology decisions, partners with Product and business stakeholders, evaluates risks and dependencies, and shapes modernization and platform roadmaps. Maintains hands-on technical credibility through design reviews, prototypes, and troubleshooting while influencing engineering practices across a matrixed enterprise.

Leads data strategy and growth initiatives across the healthcare data ecosystem. Responsibilities include monitoring market and competitive intelligence, identifying data partnerships and acquisition opportunities, sourcing new datasets, negotiating strategic agreements, developing business cases and financial models, and driving joint go-to-market initiatives. The role collaborates with Strategy, Product, Sales, Data Acquisition, and Operations teams to translate market opportunities into strategic investments and innovation.

Lead global 24x7 cloud operations and reliability for large-scale cloud-native platforms. Drive SLO-aligned reliability, incident response, observability, AI-driven automation, operational metrics, cross-functional partnerships, and development of high-performing operations teams.

Leads complex customer product implementations from discovery through configuration, testing, launch, stabilization, and transition to support. Develops implementation plans, gathers requirements, designs solutions, coordinates cross-functional teams and third-party partners, manages risks and project status, and supports customer adoption. Builds relationships with government customers, facilitates workshops, resolves implementation issues, mentors team members, and improves implementation processes, tools, and documentation.

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.

Acquire new clients across legal and corporate sectors through solution selling, prospecting, presentations, demonstrations, networking, and targeted campaigns. Manage the sales pipeline, forecasts, follow-ups, and revenue targets while building senior-level relationships. Research market trends, client needs, competitors, and opportunities; represent the business at industry events; and provide management updates on account performance and key metrics.

Leads revenue growth and retention for the U.S. Department of the Treasury market segment. Develops strategic account plans, go-to-market initiatives, pipeline strategies, and executive relationships while aligning company solutions with federal priorities. Serves as the Treasury subject matter expert, collaborates cross-functionally with sales, product, marketing, and government affairs teams, and drives customer expansion, new business development, thought leadership, and long-term market growth.

Lead complex EHR integration discussions with customer IT teams, advising on technical requirements, system configuration, access, entitlements, and integration capabilities. Partner with implementation teams to align customer needs with Clinical Solutions. Maintain technical documentation, connect internal departments, identify process improvements, and develop scalable protocols that improve customer satisfaction, retention, and clinician access to clinical content.

Leads execution of an AI-enabled marketing transformation roadmap for the Insurance business. The role designs operating models, governance frameworks, workflows, AI use cases, and measurement systems; evaluates technologies and vendors; coordinates cross-functional pilots; and supports adoption through change management, training, and communications. It requires translating AI and technical concepts into business processes, aligning stakeholders, and driving measurable improvements in marketing effectiveness, efficiency, quality, and customer engagement.

Supports data entry, document and file management, document preparation, scheduling, and compliance with established procedures. The role requires accurate information handling, basic administrative skills, adherence to quality standards, participation in training, and full-time on-site availability Wednesday through Sunday, including some holidays.

Coordinate operational readiness and adoption for academic publishing platform rollouts. Assess impacts across people, processes, systems, data, and dependencies; manage readiness checks, risks, deployment plans, communications, training, and go-live decisions. Monitor adoption through rollout and early business-as-usual operations, coordinate stakeholders and suppliers, support hypercare, and capture lessons learned to improve future deployments.

Develops and executes marketing, branding, research, and stakeholder engagement strategies. Responsibilities include assessing needs, managing brand initiatives, analyzing customer and market data, overseeing marketing technology systems, developing solutions, managing client and internal relationships, coordinating project portfolios, negotiating partnerships, and influencing stakeholders. The role requires advanced analytical, research, planning, negotiation, communication, brand management, and customer-market analysis capabilities.

Lead end-to-end UX design for a KYC orchestration product, translating complex compliance, risk, investigation, and AI-assisted workflows into intuitive experiences. Conduct customer discovery, research, usability testing, and workflow analysis; create journeys, information architecture, wireframes, prototypes, design patterns, and high-fidelity designs. Collaborate with Product, Engineering, Research, Data Science, and customers to validate solutions, communicate tradeoffs, and guide implementation.

Provides consultative education, training, legal research assistance, product demonstrations, and customer support for LexisNexis solutions. Builds relationships with legal professionals, identifies product and training needs, supports sales partners, develops account strategies, generates upsell opportunities, and helps retain and grow revenue within assigned accounts or territories.

Designs, builds, maintains, and operates scalable data engineering applications and software pipelines. Responsibilities include translating requirements into software designs, writing and reviewing specifications, implementing coding best practices, participating in code reviews, resolving technical issues, completing bug fixes, and collaborating with distributed global engineering teams. The role requires Java development, data modeling, data manipulation, testing, and familiarity with Agile and Waterfall methodologies.

Build and operate scalable MLOps platforms that bring NLP, search, recommendation, GenAI, and RAG models into production. Responsibilities include automating ML workflows, managing model registries, developing ML CI/CD, creating SageMaker pipelines, implementing retrieval and evaluation systems, optimizing cloud infrastructure, and supporting governance and reproducibility. The role collaborates with data scientists, product managers, subject-matter experts, Responsible AI teams, and operations engineers.

Lead UX research strategy and user-centered research for a product or business line. Facilitate in-person interviews, focus groups, workshops, and other moderated or unmoderated studies. Collaborate with designers, product managers, engineers, data scientists, and stakeholders to analyze customer insights, inform product decisions, define metrics, test solutions, and communicate findings. Mentor junior researchers and use research software, analytics, and AI tools to support research planning and analysis.