RELX

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

Product Manager

• 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

Account Executive

• 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

Marketing Specialist

Data Analyst

• Design and implement methodologies to gather, analyze, and continuously assess risk using customer data and LexisNexis public records, supporting government entities in identifying and mitigating fraud risk within the Social Services domain
• Analyze online transactional data to validate expected performance, identify trends and anomalies, and generate actionable insights for internal and external stakeholders, including detection of suspicious or potentially fraudulent behavior
• Evaluate large-scale batch datasets to support quality control (QC) processes, identify patterns and trends, and surface actionable leads to ensure optimal solution performance
• Leverage OSINT (Open-Source Intelligence) techniques to conduct investigative research and support customer-driven fraud investigations
• Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis
• Partner with Sales and Solution teams to provide pre- and post-sale support, including solution design, product education, implementation guidance, and best practices
• Manage and strengthen customer relationships through ongoing analysis and insights delivered throughout the lifecycle of engagements
• Develop and contribute to customer-facing presentations, translating complex analytical findings into clear, compelling narratives
• Research and recommend alternative approaches to help customers achieve cost-effective and optimized solutions
• Investigate and resolve data quality and QC issues, ensuring accuracy and reliability of outputs
• Identify and drive process improvement opportunities to enhance analytical efficiency, scalability, and quality
• Lead or contribute to special projects and strategic initiatives as assigned

Senior Fraud Data Analyst

• Own and grow a portfolio of strategic enterprise accounts
• Build trusted relationships with senior executives
• Develop and execute strategic account plans
• Create demand by helping customers improve decision-making
• Lead consultative, value-based sales conversations
• Identify and develop expansion opportunities
• Compete effectively against incumbent providers
• Lead complex commercial negotiations

Strategic Enterprise Account Director

Full-stack Engineer

• Leading multiple technology teams across Elsevier Health Education, under Health Markets responsible for the design, development, delivery, and operation of scalable software solutions supporting strategic business objectives.
• Providing technical and organizational leadership across product and engineering domains, driving execution, operational excellence, modernization, and continuous improvement.
• Partnering closely with product, architecture, data, quality, and business stakeholders to align technology investments with business priorities while fostering a culture of innovation, collaboration, and talent development.
• Developing and executing multi-year technology roadmaps aligned with Elsevier Health Education’s strategic objectives.
• Driving cloud modernization, platform consolidation, API-first architecture, and AI-enabled product capabilities across Nursing and Medical Education platforms.
• Establishing engineering standards, architecture governance, security, scalability, and operational best practices across multiple teams.
• Evaluating emerging technologies, including Generative AI and machine learning, to improve learning experiences and accelerate product innovation.
• Building, mentoring, and leading high-performing engineering managers and technical leaders across geographically distributed teams.
• Creating a culture focused on engineering excellence, innovation, accountability, continuous learning, and inclusion.
• Driving workforce planning, succession planning, organizational design, and leadership development.

Strategic Account Manager

Senior Data Scientist II

Director, Product Management – Nursing Health Education

Health Informatics Consultant, Clinical Solutions

Security Assurance Penetration Tester

Senior Data Scientist

Enterprise Sales Executive

Senior Manager, Training and Quality

Content Performance Analyst

Associate Legal News Editor

Marketing Specialist

Senior Fraud Data Analyst

Strategic Enterprise Account Director

Senior Director, Software Engineering

Enterprise Sales Executive