RELX

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

Vice President, Finance – Global Operations

Program Manager

• Manage and provide direction to a team of Project Managers and Project Analysts through direct or indirect management
• Project-manage cross-functional teams across Market Vertical, Product Management, Engineering, Testing, Legal, and other groups
• Drive moderate to complex project portfolios to completion
• Build development road maps and project schedules
• Collaborate to resolve project issues
• Manage multiple strategic projects with Engineering resources and industry-leading technology
• Represent Engineering Project Management on cross-functional teams and serve as a subject matter expert for the portfolio
• Oversee Project Managers handling moderate to complex projects
• Foster staff innovation and empower accountability
• Manage highly complex and moderate projects according to scope and complexity
• Request and review project, program, and portfolio resource allocation
• Communicate capacity and demand impacts
• Recommend improvements to processes and procedures
• Manage all project phases through the Product Development process
• Define performance parameters and create variance reports
• Negotiate with Engineering Resource Managers for project resources
• Maintain compliance with corporate and public regulations
• Perform project-related data analysis
• Interview, hire, train, assign, direct, appraise, reward, discipline, and support employees
• Provide staff with training, resources, feedback, and coaching
• Perform other assigned duties