RELX

Full-stack Engineer

• Own the design and implementation of complex internal AI-enabled tools and workflows
• Partner closely with Product Managers, Business Analysts, and Engineering Managers to translate defined problems into scalable technical solutions
• Lead hands-on development using AI-assisted and agentic tools to accelerate delivery while maintaining code quality and reliability
• Evaluate, select, and apply appropriate AI development tools and patterns based on use case complexity and risk
• Perform and lead code reviews, providing constructive feedback and setting engineering standards
• Collaborate across global teams contributing to shared internal platforms and reusable components
• Troubleshoot complex issues across the stack and guide others in effective problem resolution

Senior Software Engineer

Project Manager

• Lead projects from discovery through delivery and benefits realisation
• Translate business priorities into clear, achievable delivery plans
• Define project scope, milestones, risks, and success measures
• Ensure projects support scalable, sustainable solutions and improve customer experience
• Track progress, manage dependencies, and adapt plans as needed
• Partner with product, engineering, data, and business teams to align on objectives and outcomes
• Communicate progress, risks, and decisions clearly with stakeholders at all levels
• Plan and deliver complex or multi-stream initiatives using Agile or hybrid approaches
• Coordinate workstreams including technology delivery, change management, operations, and go-to-market activities
• Manage budgets, forecasts, resourcing, and delivery risks with a focus on value
• Ensure appropriate governance, reporting, and alignment with organisational standards
• Identify risks early and implement practical mitigation strategies
• Promote effective project management and change practices
• Contribute to a culture of learning, collaboration, and continuous improvement
• Support and mentor less-experienced delivery team members where appropriate

Senior Project Manager

Account Manager

• Drive commercial excellence by delivering sustainable revenue growth and building long-term strategic partnerships within assigned accounts and territories.
• Manage renewals, identify new opportunities, and build strong relationships with key stakeholders.
• Act as a trusted advisor, aligning Elsevier solutions with customer strategies and delivering tangible results.
• Achieve revenue targets through new sales and timely renewals.
• Collaborate with internal teams to design and execute strategic account plans.

Content Marketing Manager

• Define the product vision and strategy for content metadata and vectorization across ClinicalKey and ClinicalKey AI.
• Own product decisions related to semantic representation of content, including what content is embedded, appropriate levels of granularity, refresh cadence, and success metrics for vector-based retrieval.
• Own the metadata and content tagging roadmap across ClinicalKey and ClinicalKey AI.
• Define product requirements for scalable pipelines that support metadata generation, content embedding, re-embedding, monitoring, and quality controls.
• Act as the product owner and decision-maker for content representation initiatives, ensuring long-term consistency and impact.

Senior Product Manager, Content Metadata and Vectorization

Manager

• Responsibility for oversight of law enforcement relationships that support a professional, ethical and positive reputation for the Government Group
• Work with Market Planning and Sales teams to develop and roll out messaging to amplify integrated marketing campaign messages.
• Coordinate global messaging across stakeholders and agencies
• Develop plans in conjunction with Market Planning and Sales to interface with law enforcement organizations such as NSA, FLEOA, FoP, IACP, MCC, NAPO, IBPO, NPTA, USPA, etc
• Coordinate pitches for law enforcement publications and byline article development
• Attend spokesperson media training
• Create weekly updates, provide activity status report, monthly results report and quarterly dashboard – which tracks activity, tone of coverage, arising issues, etc.
• Submit for LE association awards as directed by sales leaders including, gathering content, materials for competitions, completing submissions, notifying internal stakeholders and determine channels for external (i.e., social media, news release, website) and internal promotion
• Support RELX-wide efforts as required
• Other projects as assigned

Industry Affairs Manager

Scrum Master

• Serve as Scrum Master for one or more Agile teams, ensuring effective adoption of Scrum and Agile practices (Scrum, Kanban, or Scrumban as appropriate).
• Own team-level delivery governance and predictability, ensuring clear goals, realistic planning, and transparent signals on scope, risks and progress.
• Ensure work is visible, prioritized, and flowing through the system (e.g., backlogs, boards, WIP limits).
• Help teams create realistic sprint goals or flow target and meet commitments sustainably.
• Define and maintain team-level delivery metrics (e.g., throughput, cycle time, defect trends; DORA metrics where appropriate).
• Identify and make visible impediments impacting throughput or quality – both within and outside the team – and drive resolution in partnership with Engineering, Product, TPMs, and Product Operations.
• Facilitate Agile ceremonies including Sprint Planning, Daily Stand-Ups, Reviews, Retrospectives, and Backlog Refinement.
• Coach teams on Agile principles, self-organization, and continuous improvement.
• Foster a culture of trust, accountability, psychological safety, and constructive challenge.
• Support Product Owners and Product Managers in effective backlog management and value-based slicing of work.
• Use data and experiments to evolve ways of working rather than enforcing process for its own sake.
• Use quantitative and qualitative insights to identify bottlenecks, risks, and improvement opportunities.
• Facilitate outcome-focused retrospectives and ensure follow-through on improvement actions.
• Provide clear, concise status, risk and dependency signals to stakeholders, framed in terms of business impact.
• Where applicable, create and maintain delivery dashboards and queries in Agile tooling (e.g., Azure DevOps).
• Own cross-team coordination for work involving supported teams, ensuring dependencies, sequencing, and risks are understood and managed collaboratively.
• Partner with Product Operations and TPMs by providing accurate team- and cluster-level plans, capacity, and risk signals.
• Represent team realities in planning and prioritization forums.
• Collaborate with Design, Security, Data, and other functions to improve end-to-end delivery.
• Contribute to the evolution of Agile practices as the organization scales.

User Researcher

• Lead rapid discovery and evaluative research for internal, GenAI-enabled tools.
• Identify employee needs, pain points, and jobs to be done across roles and workflows.
• Select and apply appropriate research methods, balancing speed and rigor.
• Synthesize insights into clear, actionable guidance.
• Partner closely with product, design, engineering, and data science to frame problems and co-create solutions.
• Use analytics and system data to complement research.
• Apply AI tools to accelerate research planning, analysis, and synthesis.
• Manage multiple projects and priorities with minimal oversight.

Senior UX Researcher

• Define the product vision and strategy for content metadata and vectorization across ClinicalKey and ClinicalKey AI.
• Own product decisions related to semantic representation of content, including what content is embedded, appropriate levels of granularity, refresh cadence, and success metrics for vector-based retrieval.
• Own the metadata and content tagging roadmap across ClinicalKey and ClinicalKey AI.
• Define product requirements for scalable pipelines that support metadata generation, content embedding, re-embedding, monitoring, and quality controls.
• Define and track success metrics related to metadata coverage, quality, and retrieval effectiveness across lexical and semantic systems.

Senior Product Manager, Content Metadata – Vectorization

Data Analyst

• Apply analytics best practices, including data quality, documentation, reproducibility, and appropriate metric use.
• Manage and deliver analytics projects, ensuring clear timelines, communication, and stakeholder alignment.
• Collaborate with stakeholders to clarify business questions and recommend relevant analyses, metrics, or KPIs.
• Prepare, clean, and transform datasets—including large or complex data—using effective blending, validation, and refinement techniques.
• Conduct intermediate statistical analyses to identify trends, patterns, and drivers.
• Create accessible and meaningful visualizations using tools such as Tableau or Power BI, tailoring outputs to audience needs.
• Integrate data and visuals from multiple sources to communicate clear, actionable insights.
• Lead small or operational analytics efforts, including scoping, task planning, progress tracking, and risk escalation.
• Support team members through peer reviews, shared resources, and collaborative problem‑solving.
• Maintain awareness of customer needs, market context, and how business changes affect data interpretation.
• Use approved AI tools to streamline routine analytics tasks while ensuring accuracy and completeness.

Global Operations Data Analyst III

• Collaborate with stakeholders to understand business goals and identify meaningful analyses, metrics, and success measures
• Help define measurable outcomes aligned with organizational objectives
• Prepare, transform, and validate data, including work with large or complex datasets
• Apply statistical methods and analytical modeling to assess trends, drivers, and potential outcomes
• Develop clear visualizations and data stories tailored to diverse audiences
• Lead analytics projects end-to-end, including scoping, planning, and managing timelines
• Serve as a subject matter expert in assigned areas and provide mentorship to junior analysts
• Build understanding of related disciplines to improve analysis and interpretation
• Use approved AI tools to streamline work—such as drafting analyses, summarizing findings, generating code, or documenting workflows—while ensuring accuracy and quality
• Create reusable data products that support users at varying levels of data literacy (e.g., metric bots, guided dashboards)

Senior Data Analyst, Global Operations

Account Executive

• Managing accounts by promoting and selling our Nursing curriculum materials and digital products
• Driving revenue growth by ensuring successful implementation and adoption of our solutions
• Identifying client needs through solution-based selling techniques and demonstrate the full value of our product offerings
• Providing exceptional customer service, coordinate training, and make recommendations based on performance to support and grow your accounts
• Building and maintaining strong relationships with clients, acting as a trusted advisor and partner
• Track sales pipeline, leads, and sales cycle using CRM systems like Salesforce
• Play lead role in renewing and upselling to our enterprise customers

Enterprise Account Executive, Nursing Health Education

Pre-sales Engineer

• Working with Sales Managers in deep dive demonstrations in order to provide technical input into bids, RFP, RFI, proposals, projects and technical documents within the sales process
• Having a solid technical understanding of Aries products, APIs in order to identify additional sales opportunities with existing customers
• Collaborating with sales teams to develop and recommend products and services to meet customers' requirements
• Demonstrating the organization's products during customer calls especially later in the sales process when mapping out a technical solution to meet customers current and future needs
• Maintaining up-to-date and comprehensive knowledge of the organization's and competitors' products and/or services
• Preparing cost estimates by studying all related customer documents, consulting with internal and external staff

Pre-Sales Engineer

• Work directly with various business leaders and sales teams; direct accountability for end-user support
• Provide system and business process expertise when scoping projects and related integrations
• Review solution summaries where appropriate to ensure adherence to best practices and fit-for-purpose, user-focused development
• Demonstrable growth mindset; enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems
• Integration monitoring and trouble-shooting
• Documentation and knowledge sharing; technical, business process, best practice, reference architecture, etc.
• Applies advanced Salesforce technical principles and concepts; contributes to the development of new principles and concepts
• Works under consultative direction toward predetermined long-range goals and objectives; assignments are often self-initiated, determines and pursues courses of action necessary to obtain desired results, work checked through consultation and agreement with business stakeholders more often than by formal review of superior

Software Engineer II

Data Scientist

• Apply state-of-the-art techniques in embeddings, transformers, and generative language models to IP data
• Design and enhance knowledge graph architectures to capture domain knowledge and enable advanced reasoning
• Integrate embeddings and NLP methods with graph-based systems to power knowledge-driven insights
• Prototype and validate new approaches, transitioning successful methods into production-grade systems in collaboration with AI engineering teams
• Stay current with state-of-the-art NLP and graph research, applying and adapting new methods to real-world problems in intellectual property
• Contribute to the internal knowledge base by publishing technical reports, presenting at internal forums, and, where appropriate, authoring external publications or patents
• Work with product managers and business stakeholders to deliver customer-focused solutions with measurable impact

Data Scientist, NLP

• Achieve revenue targets for a portfolio including scientific databases, Solutions Products, and Content Licensing.
• Understand client needs through a consultative approach, crafting tailored propositions aligned with company sales strategy.
• Collaborate closely with regional and federal government agencies on projects involving scientific databases and solutions.
• Develop and execute market-specific sales strategies and account plans, adapting approaches to meet diverse client needs while adhering to company policies.
• Maintain up-to-date records in Salesforce; use sales enablement tools like Clari to review forecasts and adjust strategies accordingly.
• Monitor competitor activity and gather market insights to inform product development and Go-To-Market strategies.
• Represent the company at trade shows and conferences with clear objectives.
• Build and nurture relationships with key decision-makers and influencers to support Elsevier’s strategic goals.
• Analyze and integrate information from projects, customer feedback, market trends, and technical knowledge to optimize sales efforts.