RELX

Business Analyst

• Build a deep, first-hand understanding of customer needs, behaviours, and constraints in trade show usage contexts
• Represent customer and business context within the delivery team
• Frame problems clearly and test assumptions using qualitative insight and quantitative data
• Partner with engineering, design, delivery management, and data analytics to enable effective delivery
• Provide context, clarity, and specification to unblock teams and sustain momentum
• Make pragmatic delivery trade-offs balancing value, feasibility, reliability, and time
• Work closely with UK-based Senior Product Managers as an execution partner and subject matter expert
• Bring delivery realities, technology options, customer insight, and learning into roadmap and prioritisation discussions
• Support execution and monitoring of agreed product and technology work
• Validate product hypotheses through data, experimentation, and real-world feedback
• Monitor product behaviour in live show conditions and identify reliability or adoption issues
• Feed learning into iterative improvement and prioritisation cycles
• Collaborate with commercial, product success, marketing, and sales teams to support adoption and operability
• Contribute to coordinated releases and dependency management across teams
• Lead product demos or reviews, articulating outcomes, trade-offs, and learning
• Create and prioritise the product backlog and define requirements, user stories, specifications, and acceptance criteria
• Facilitate agile ceremonies and support delivery and release readiness
• Use analytics dashboards to inform product decisions and connect work to OKRs
• Serve as the end-to-end product subject matter expert and respond to live event issues

Product Owner, Business Analyst

• Build first-hand understanding of customer needs, behaviours, and constraints in trade show usage contexts
• Represent customer and business context within the delivery team
• Frame problems and test assumptions using qualitative insight and quantitative data
• Partner with engineering, design, delivery management, and data analytics to enable delivery
• Provide context, clarity, and specifications to unblock teams
• Make pragmatic delivery trade-offs balancing value, feasibility, reliability, and time
• Work closely with UK-based Senior Product Managers as an execution partner and subject matter expert
• Bring delivery realities, technology options, customer insight, and learning into roadmap and prioritisation discussions
• Support execution and monitoring of product and technology work
• Validate product hypotheses through data, experimentation, and real-world feedback
• Monitor product behaviour in live show conditions and identify reliability or adoption issues
• Feed learning into iterative improvement and prioritisation cycles
• Collaborate with commercial, product success, marketing, and sales teams to support adoption and operability
• Contribute to coordinated releases and dependency management across teams
• Lead product demos or reviews at key milestones, articulating outcomes, trade-offs, and learning

Product Owner / Business Analyst

Consultant

• Partner directly with GTM leaders to provide frameworks, insight, facilitation, challenge, and enablement needed to create strong persona GTM strategies
• Translate customer and market understanding into clear choices, priorities, initiatives, and measures
• Synthesize persona GTM strategies into one aligned global plan
• Identify shared priorities, dependencies, opportunities, conflicts, and areas for leverage across personas
• Develop GTM strategy for enterprise offerings that span multiple personas
• Establish common frameworks, governance, decision rights, planning processes, and operating rhythms
• Lead global commercialization planning for new products, major enhancements, migrations, and portfolio changes
• Define and monitor shared success metrics, using data and customer feedback to continuously improve strategy and execution
• Report to the SVP Commercial

Segment Leadership Consultant II

Architect

• Provide effective architectural and structural design for the applicable RELX Business Unit
• Ensure ongoing development, maintenance, and delivery of technical knowledge and expertise
• Determine the technical feasibility of development projects
• Act as a conduit between Global Architecture and Engineering or Development teams
• Work with architects from different organizations
• Introduce and train teams on new technology
• Lead teams in identifying, researching, and coordinating resources to troubleshoot and diagnose complex project issues
• Evaluate new technologies and their applicability to the business
• Translate findings into alternatives and solutions, identifying risks, impacts, and schedule adjustments for management decision-making
• Drive technical direction and architecture evolution through reviews and on-floor leadership
• Monitor Business Unit system health and design and write proposals to remedy negative trends
• Monitor new development to identify subsystems or components suitable for shared infrastructure
• Research, monitor, learn, and assess industry and technology advancements
• Build alliances to leverage and advance technical opportunities

• Provide architectural and structural design for the applicable RELX Business Unit
• Maintain and deliver technical knowledge and expertise
• Determine the technical feasibility of development projects
• Act as a conduit between Global Architecture and Engineering or Development teams
• Collaborate with architects across different organizations
• Introduce and train teams on new technology
• Lead teams in resolving complex project issues and coordinate troubleshooting resources
• Evaluate new technologies and their applicability to the business
• Translate findings into alternatives and solutions, identifying risks, impacts, and schedule adjustments
• Drive technical direction and architecture evolution through reviews and on-floor leadership
• Monitor Business Unit system health and develop proposals to remedy negative trends
• Identify subsystems or components suitable for evolution into shared infrastructure
• Research and assess industry and technology advancements and build alliances to advance technical opportunities

DevOps Engineer

• Design, build, and operate highly available, scalable systems in AWS
• Write, maintain, and review Terraform to provision and manage infrastructure
• Own and improve monitoring, alerting, and observability using Grafana, Pingdom, and Uptrends
• Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution
• Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation
• Define and manage SLOs, SLIs, and error budgets
• Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub
• Work directly with application teams to improve reliability, performance, and deployability
• Automate manual operational tasks to reduce toil
• Maintain clear, actionable runbooks and documentation in Confluence
• Track work, incidents, and operational improvements using Jira and ServiceNow
• Mentor other engineers and help set SRE standards and best practices

Senior Site Reliability Engineer

Customer Support

• Serve as an entry-level member of the support team
• Maintain relationships and provide support to field offices, agencies, and financial institutions participating in asset verification programs
• Train financial institution personnel on web-based applications and supporting procedures
• Evaluate existing procedures and identify operational efficiencies
• Respond to phone and email inquiries regarding asset verification programs
• Document inquiries and resolutions in systems and databases
• Maintain and update procedural documentation and reports
• Support contracted service level agreements, including financial institution network coverage and response-time goals
• Process financial institution registrations and user account updates
• Contact financial institutions regarding outstanding and overdue requests
• Assist financial institutions with conversion to automated processing methods
• Identify, resolve, and report operational errors
• Perform other duties as assigned

Support Specialist

Sales

• Manage the full sales cycle from prospecting through qualification, opportunity creation, and closing
• Maintain a tight record of all outbound prospecting and sales activity in Salesforce CRM
• Plan own prospecting, lead generation, and opportunity creation through campaigns
• Work closely with marketing and sales leadership to convey market insights and sales initiatives
• Develop and manage a pipeline of viable opportunities with timely follow up of all leads ensuring closure
• Lead individual opportunities, coordinating subject matter specialists, engineers and consultants as necessary for pre- and post-solution implementation
• Acquire new business by engaging net new customers and guiding opportunities through the full sales cycle
• Build a strong pipeline, deliver customer value, and drive business growth

Sales Executive

• Drive day-to-day operations for the Life Sciences SRE team under priorities set by the SRE Manager
• Deliver reliability and toil-reduction initiatives with SREs and contractors
• Partner with the Senior Software Architect for Life Sciences to modernize processes, tooling, and development strategy
• Collaborate across Reed Tech to converge on common tools, standards, and practices
• Influence service level objectives across Life Sciences production systems
• Serve as an escalation point during major incidents and guide restoration efforts
• Troubleshoot and resolve complex systems and application issues across development and production environments
• Improve the SRE framework and contribute to shared SRE knowledge documentation
• Create disaster recovery plans
• Mentor and prepare junior SREs for on-call readiness
• Champion AI-assisted development and operational tooling
• Implement reusable dashboards, observability standards, SLOs, and error budgets
• Conduct incident analysis, performance optimization, failover testing, production recovery, and blameless post-mortems
• Support platform modernization, CI/CD and SDLC improvements, standard platform adoption, and operational health reporting
• Promote SRE best practices, coach engineers, identify skill gaps, and lead automation and toil-reduction initiatives

Senior Site Reliability Engineer II

• Serve as an entry-level member of the support team
• Maintain relationships and provide support to field offices, agencies, and financial institutions participating in asset verification programs
• Train financial institution personnel on the solution, web-based applications, and supporting procedures
• Evaluate existing procedures and identify operational efficiencies
• Respond to phone and email inquiries regarding asset verification programs
• Document inquiries and resolutions in appropriate systems and databases
• Maintain and update procedural documentation and reports
• Support contracted service level agreements, including financial institution network coverage and response-time goals
• Process financial institution registrations and user account updates
• Contact financial institutions regarding outstanding and overdue requests
• Assist financial institutions with conversion to automated processing methods
• Identify, resolve, and report operational errors
• Occasionally work company-observed holidays
• Perform other duties as assigned

Machine Learning Engineer

• Design, prototype, and implement AI-powered applications, services, agents, and workflows
• Translate business, user, and government mission requirements into practical technical solutions
• Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, and other AI technologies
• Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations
• Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications
• Balance rapid experimentation with secure, reliable production engineering
• Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit
• Contribute to solution architectures spanning applications, models, data, integrations, infrastructure, security, and operational monitoring
• Establish AI architecture patterns, guardrails, standards, and reference architectures with senior architects
• Identify shared AI services and reusable capabilities across products, contracts, and government agencies
• Participate in architecture reviews and document technical decisions, tradeoffs, assumptions, and risks
• Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams
• Grow into ownership of end-to-end AI solution architecture and broader technical strategy
• Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses
• Communicate AI concepts, limitations, risks, and tradeoffs to technical and non-technical audiences
• Move successful prototypes into secure, supportable, scalable production capabilities
• Stay informed about government AI policies, standards, acquisition practices, and responsible-AI expectations
• Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle

Principal Machine Learning Engineer

• Drive day-to-day operations for the Life Sciences SRE team, supporting priorities set by the SRE Manager
• Deliver reliability and toil-reduction initiatives with SREs and contractors
• Partner with the Senior Software Architect for Life Sciences to modernize processes, tooling, and development strategy
• Collaborate with SREs across Reed Tech to converge on common tools, standards, and practices
• Influence service level objectives across Life Sciences production systems
• Participate in major incident resolution as an escalation point and guide restoration efforts
• Troubleshoot and resolve complex systems and application issues across development and production environments
• Improve the SRE framework and contribute to shared SRE knowledge documentation
• Create disaster recovery plans
• Mentor and prepare junior SREs for on-call readiness
• Champion AI-assisted development and operational tooling
• Implement reusable dashboards, observability standards, SLOs, and error budgets
• Conduct incident analysis, performance optimization, failover testing, production recovery, and blameless post-mortems
• Support platform modernization, CI/CD and SDLC improvements, standard platform adoption, and operational health reporting
• Promote SRE best practices, coach engineers, identify skill gaps, and lead automation and toil-reduction initiatives

Data Scientist

• Define and lead AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI
• Lead and develop high-performing teams through coaching, prioritization, scientific rigor, and inclusive collaboration
• Deliver AI and knowledge-discovery systems across the lifecycle from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions
• Establish AI evaluation frameworks, metrics, experimentation practices, and responsible AI standards
• Partner with product, technology, and business leaders to shape roadmaps and align teams on customer and business impact

Manager, Data Science

• Design, prototype, and implement AI-powered applications, services, agents, and workflows
• Translate business, user, and government mission requirements into practical technical solutions
• Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, and other AI technologies
• Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations
• Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications
• Balance rapid experimentation with secure, reliable production engineering
• Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit
• Contribute to architectures spanning applications, models, data, integrations, infrastructure, security, and monitoring
• Establish AI architecture patterns, guardrails, standards, and reference architectures with senior architects
• Identify shared AI services and reusable capabilities across products, contracts, and government agencies
• Participate in architecture reviews and document technical decisions, tradeoffs, assumptions, and risks
• Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams
• Grow into ownership of end-to-end AI solution architecture and broader technical strategy
• Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses
• Communicate AI concepts, limitations, risks, and tradeoffs to technical and non-technical audiences
• Move successful prototypes into secure, supportable, scalable production capabilities
• Stay informed about government AI policies, standards, acquisition practices, and responsible-AI expectations
• Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle

Operations

• Partner with the EVP Global Operations and functional leadership on business plans and financial analyses/tools
• Support strategic and operational decision-making through financial insights
• Drive data-driven decision-making using financial and operational metrics
• Develop annual and strategic business plans aligned with company goals
• Advise leadership on operating results, trends, and milestones
• Provide financial leadership for alliances, acquisitions, mergers, investments, and other business issues
• Lead financial processes including cost analysis, profit improvement, business cases, capital spending, reporting, and cash flow analysis
• Lead budgeting, forecasting, strategic planning, and performance reporting across Global Operations
• Establish and monitor financial and operational performance indicators
• Oversee financial modeling, scenario planning, and forecasting
• Improve planning accuracy, reporting effectiveness, and financial transparency
• Ensure financial governance, internal controls, compliance, audit support, and regulatory reporting
• Lead continuous improvement of financial processes, systems, and reporting
• Leverage technology, analytics, and data to improve performance and decision-making
• Govern company financials and reporting for LexisNexis Group and RELX Group
• Collaborate with Global Finance Shared Services on control environments
• Manage REPH funding and secure funding for strategic initiatives
• Lead, motivate, mentor, and coach financial professionals
• Position Finance as a strategic business partner to senior management
• Support team professional development and wider experience
• Align Global Operations Finance with other business unit finance teams across LexisNexis and RELX

Product Owner, Business Analyst

Product Owner / Business Analyst

Segment Leadership Consultant II

Architect

Architect

Senior Site Reliability Engineer

Support Specialist

Sales Executive

Senior Site Reliability Engineer II

Support Specialist

Principal Machine Learning Engineer

Senior Site Reliability Engineer II

Manager, Data Science

Principal Machine Learning Engineer

Vice President, Finance – Global Operations