RELX

Product Manager

• Ownership of Content workflow delivery
• Own delivery of initiatives that support Content workflows and production systems
• Ensure Content priorities are translated into clear delivery outcomes
• Track progress against roadmap commitments and ensure delivery aligns with agreed scope
• Define and maintain structured requirements and user stories based on Content needs
• Build and manage a prioritised backlog aligned to Content roadmap priorities
• Support scope definition and iteration planning, including MVP decisions
• Work closely with Content stakeholders to clarify requirements and refine solutions
• Maintain consistency in how requirements are defined and documented
• Coordinate delivery activities required to progress work from definition to release
• Manage dependencies, sequencing, and timing across delivery workstreams
• Act as the primary owner of delivery flow and execution for Content-led initiatives
• Identify opportunities to simplify and scale content workflows
• Reduce friction, duplication, and inefficiencies in how work is executed
• Ensure delivered capabilities support consistent, repeatable, and scalable processes
• Provide clear visibility of delivery progress, risks, and trade-offs
• Improve predictability and discipline in delivery execution
• Ensure alignment between roadmap priorities and delivered outcomes

Software Engineer

• Lead the engineering effectiveness agenda across the organization, aligned to the CTO's strategic priorities
• Translate engineering leadership priorities into clear operating rhythms, improvement plans, and measurable initiatives
• Establish engineering scorecards and review cadences that improve visibility into delivery health, quality, execution risk, and engineering effectiveness
• Define common expectations and fit-for-purpose ways of working where greater consistency improves engineering outcomes
• Use data, team feedback, and operational observation to identify bottlenecks, reduce friction, and improve how engineering teams plan, build, test, and deliver software in both traditional and AI-assisted development environments
• Build durable mechanisms for continuous improvement rather than one-time transformation efforts
• Lead the AI Enablement function focused on transforming how engineering teams work through AI-assisted and agent-enabled engineering workflows
• Drive adoption of modern developer tooling, AI-assisted coding practices, and agent-enabled workflow patterns that deliver measurable value to engineering teams
• Lead the Delivery Excellence function, including scrum masters, delivery leads, and related delivery support roles

Director, Engineering Effectiveness

Account Executive

• Support the successful execution of new and renewal sales deals across an assigned territory.
• Work closely with Sales, Finance, Legal, and Operations to ensure deals progress smoothly, compliantly, and on time.
• Monitor and support the execution of new and renewal deals to ensure alignment with internal milestones and timelines.
• Track customer procurement and invoicing requirements using dashboards, including paperwork status, access extensions, and process exceptions.
• Support resolution of account-level delinquencies by coordinating with internal stakeholders.
• Engage with customers, particularly on contested renewals and title changes, to ensure a responsive and informed experience.
• Assist with contract review, redlining, and documentation for renewals and new business.
• Coordinate complex or high-value deals with Sales, Finance, Legal, and other partners in line with internal policies.
• Maintain accurate records of deal terms, approvals, exceptions, and regional process documentation.
• Identify opportunities to improve deal desk processes, workflows, and reporting.

Account Support Executive

Business Analyst

• Contributing to the development of new tools, standard processes and moderate solutions to meet core product needs.
• Analyzing, defining and documenting complex requirements and business processes
• Developing complex systems specifications and process flows.
• Following established business processes, protocols and quality standards in the development and deployment of intermediate and complex solutions.
• Maintaining stakeholder expectations and raise appropriate issues to project managers, as necessary.
• Developing “trusted advisor” relationship with senior stakeholders through effective communication and efficient, quality execution on projects.
• Gathering business requirements and translate them into user stories/functional specifications.
• Identifying and documenting process improvements and functional specifications based on research of best practices and analysis of work group data.
• Creating moderately complex technical and functional user documentation.
• Performing moderately complex analysis on existing systems; identifying options for potential solutions and assess for both technical and business suitability.
• Working between remote development teams, internal IT and business to ensure requirements are being met.
• Collaborating in an Agile/Scrum environment: participate in standups, sprints planning, backlog grooming, and demos.
• Collaborating with QA to define and implement test strategies and acceptance criteria.

Senior Business Analyst

Account Manager

• Meeting or exceeding monthly and annual revenue objectives across a portfolio of named strategic financial services accounts.
• Developing and executing strategic account plans that identify growth opportunities, sales strategies, target activities, and required cross-functional resources.
• Building and maintaining strong relationships with customer stakeholders at all levels, including executive and C-suite decision makers.
• Expanding existing customer relationships by identifying opportunities to increase adoption of LNRS products, services, and solutions across the enterprise.
• Acting as the primary quarterback for assigned accounts by coordinating internal stakeholders across sales, product, marketing, client engagement, and support functions to drive customer success.
• Creating detailed sales plans that leverage account history, industry trends, customer objectives, and market insights to uncover new business opportunities.
• Managing pipeline development, forecasting, territory planning, and account growth initiatives.
• Conducting research and analysis to identify customer needs, market trends, competitive threats, and strategic opportunities.
• Clearly articulating the value of LNRS products, pricing, and competitive differentiation in ways that align to customer business goals.
• Collaborating effectively within a highly matrixed environment while balancing multiple priorities and stakeholder needs.
• Representing LNRS professionally in customer-facing meetings, business reviews, industry events, and executive discussions.
• Demonstrating a team-first mindset and partnering with colleagues across the organization to achieve shared customer and business objectives.
• Participating in ongoing professional development to strengthen industry, market, and product expertise.

Strategic Account Manager

Data Scientist

• Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
• Define agentic workflows and reasoning strategies for multi-step legal tasks.
• Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
• Analyze large-scale legal datasets to extract insights and improve model performance.
• Establish best practices for model evaluation, validation, and benchmarking.
• Translate experimental results into clear product recommendations and business impact.
• Collaborate with product, legal experts, and engineers to align solutions with user needs.
• Mentor team members and provide technical leadership in data science and AI.

Senior Data Scientist II

• Lead the product strategy, roadmap, and execution for Shadow Health solutions, with a focus on AI-enabled clinical simulation, precision learning, and measurable learner outcomes
• Define and advance the AI strategy, including data loops, evaluation frameworks, and build, buy, or partner decisions that create durable product differentiation
• Use customer insight, market trends, competitive intelligence, and performance data to prioritize opportunities and guide product decisions
• Partner with engineering, data science, sales, marketing, and customer-facing teams to deliver products, launches, positioning, pricing, and adoption plans
• Establish product KPIs and evaluate success across learning outcomes, AI quality, customer adoption, revenue impact, and business performance
• Communicate product vision and AI strategy clearly to technical and non-technical stakeholders, including academic and executive audiences
• Recruit, manage, coach, and develop a high-performing product management team

Director, Product Management – Nursing Health Education

Solutions Engineer

• Lead implementation, integration, adoption, optimization, and expansion using established methodologies and best practices
• Advise clinicians, operational leaders, informatics teams, executives, and technical stakeholders
• Align evidence-based workflows with clinical, operational, and organizational goals
• Support integration of evidence-based practice into daily clinical workflows and EHR environments
• Partner with clinical, operational, technical, and EHR vendor teams to integrate Elsevier solutions into healthcare workflows
• Ensure solutions are embedded effectively across clinical and operational practice
• Identify and resolve workflow gaps, implementation risks, adoption barriers, usability issues, and operational dependencies
• Facilitate workshops, governance meetings, workflow reviews, optimization sessions, and post-go-live support

Health Informatics Consultant, Clinical Solutions

QA Engineer

• Tracking and triaging findings from third-party assessments, ensuring timely follow-up and remediation tracking.
• Collaborating with development, platform, and product teams to communicate findings, track remediation efforts, and improve overall security posture.
• Facilitating post-assessment reviews and lessons learned sessions with development teams to identify recurring security issues and promote secure development practices.
• Maintaining program documentation, test records, and reporting artifacts.
• Conducting penetration testing of web applications, APIs, cloud environments, and internal systems, escalating complex testing scenarios as needed.
• Performing peer review of penetration testing deliverables, including test plans, findings, and final reports.
• Participating in scoping exercises and contributing to the selection of appropriate testing methodologies.
• Supporting security assessments of GenAI-powered applications and features, including LLM integrations, RAG pipelines, and AI agents.
• Assisting in testing for AI-specific vulnerabilities such as prompt injection, jailbreaking, insecure output handling, model data leakage, and training data poisoning.
• Contributing to the development of internal GenAI security testing checklists and methodologies, aligned with frameworks such as OWASP Top 10 for LLMs.

Security Assurance Penetration Tester

• Play a pivotal role in the development and deployment of cutting-edge Gen AI models and solutions
• Responsible for building, testing, and maintaining our Gen AI, RAG and NLP solutions
• Work throughout the whole life cycle of data science projects: design, implementation, production and beyond
• Deliver efficient and production-ready Python code
• Collaborate closely with developers to deploy and productionize our data science pipelines
• Collaborate with subject matter experts in biology and chemistry domains to validate the output
• Data collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders
• Create production-ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with software engineering team
• Optimize and customize Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information retrieval
• Ingest, preprocess, and transform large-scale multilingual data to ensure high-quality inputs for downstream models
• Build AI agentic models integrated with RAG pipelines
• Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability
• Integrate data science components and perform end-to-end quality assessments
• Maintain robustness of data science pipelines against model drift and ensuring consistent output quality
• Establish reporting processes for pipeline performance and develop automated re-training strategies for existing pipelines
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services
• Lead and manage projects with a team of data scientists and independently execute the entire small-scale projects
• Mentor junior data scientists and foster a knowledge-sharing culture within the team
• Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies.

Senior Data Scientist

• Drive new business development within the broker-dealer market through proactive prospecting, pipeline generation, and strategic account engagement.
• Identify, qualify, and close complex, high-value, multi-year sales opportunities.
• Develop and execute territory plans focused on broker-dealers and adjacent financial services organizations.
• Build and maintain trusted relationships with C-level executives and senior decision-makers to uncover business priorities and growth opportunities.
• Apply a consultative, value-based sales approach to understand customer challenges and align solutions with business objectives.
• Create compelling business cases, proposals, and presentations tailored to client needs and strategic initiatives.
• Leverage industry expertise in fraud, identity, and risk management solutions to position differentiated offerings and drive competitive wins.
• Manage and expand a portfolio of existing accounts by identifying upsell and cross-sell opportunities that enhance client outcomes.
• Own revenue performance against assigned sales quotas, including accountability for pipeline creation, forecasting, and deal conversion.
• Partner closely with Product, Data Science, Professional Services, and other internal stakeholders to design and deliver integrated client solutions.
• Maintain accurate sales forecasts, pipeline activity, and account plans within CRM systems.
• Stay informed on industry trends, regulatory changes, and competitive developments impacting the broker-dealer and financial services sectors.

Enterprise Sales Executive

Learning and Development

• Lead the redesign of a training operating model from predominantly manual, instructor-led delivery toward scalable, AI-enabled learning; de-risk single-point-of-failure roles by externalizing siloed knowledge into documented, AI-ingestible assets.
• Lead the redesign of the editorial Quality Management System: QA frameworks, sampling, scoring standards, calibration, and feedback loops, optimizing for AI-assisted quality auditing (automated sampling, error detection, trend analysis, workflow monitoring) using defensible methods: rubrics, thresholds, and error taxonomies.
• Build measurement systems that move beyond activity and satisfaction toward application and business outcomes, linking training effectiveness and editorial quality to downstream customer and business results.
• Partner with the Content Performance Analyst to measure and track time-to-proficiency, post-training quality and accuracy, and AI-assisted versus unassisted performance.
• Build strong relationships with editorial leadership, cross-functional partners (Technology, Finance, Metrics), and vendors; communicate strategy, progress, and risk to senior leadership through structured reporting.
• Set short- and long-term goals, performance targets, and operating plans, including learning-effectiveness and quality-maturity targets.
• Stay market-savvy, maintaining strong awareness of emerging AI training and QA trends; bring those insights into driving roadmap planning and content differentiation.

Senior Manager, Training and Quality

Content Marketing Manager

• Execute recurring and ad hoc data pulls across editorial and operational systems
• Reconcile inconsistencies across sources; validate, document and socialize metric definitions, assumptions, and calculation logic
• Structure datasets to align with specific strategic questions
• Improve the efficiency and repeatability of recurring reporting processes
• Align data practices with enterprise governance standards
• Translate leadership questions into measurable metrics and analytical plans
• Conduct trend, variance, and performance driver analysis
• Develop executive-ready presentations and data visualizations for strategy discussions
• Produce recurring performance reporting aligned to strategic priorities
• Partner closely with the Head of GEO Strategy to prioritize analysis
• Collaborate with Editorial Operations, Finance, Metrics, Tech, Product and Data Analytics teams

Content Performance Analyst

Attorney

• monitor and identify important legal developments and write news articles for daily news production
• help set direction and provide tactical guidance when needed
• gather news and identifying relevant official documents regarding events and developments in assigned practice areas
• select which developments to report
• digest and provide explanation on court opinions and other litigation-related documents following guidance provided by manager
• write news articles for daily upload to website and inclusion in print publications
• meet all deadlines while producing publications in a timely manner
• review all available analytics of web-based usage of content to help drive content focus

Associate Legal News Editor

Marketing

• Handle the full scope of administrative tasks related to all marketing campaigns
• Manage different websites and online portals with the ability to edit, post and launch (i.e. Law School Portal, Faculty Portal, Webinar Training Page, InfoPro Page, SalesLine, etc.)
• Track and update campaign materials for the team’s visibility (i.e. Seismic, Widen, Monday.com, etc.)
• Leverage existing and new tools to boost campaign visibility (i.e. Testimonial Tool, etc.)
• Provide timely reports to track campaign stats (i.e. Pardot, SalesPro, etc.)
• Create and send email newsletters (i.e. SalesPro and Pardot, InfoPro)
• Expands email marketing responsibilities, including Engagement Studio programs
• Create, update and optimize Pardot landing pages
• Promote webinars and events on all available platforms
• Formulate surveys and questions to gather data from internal team and customers (i.e. Smartsheet, Survey Monkey, etc.)
• Allocate promotional items (i.e. Gift Card Inventory, Law School Item Allocation, etc.)
• Generate hyperlinks for customer-facing and internal documents
• Keep track of financial documents (i.e. Monthly Budget Report Collation, Monthly Accrual, etc.)
• Execute special assignments to support any marketing campaigns
• Demonstrates light design skills, including PDF and image editing, to support campaign and project needs.
• Submits Sales Line Blurbs to support aligned campaign messaging.
• Coordinate with different teams to execute the campaign effectively