RELX

Account Manager

• Initiating and answering inbound and/or outbound sales contact directly from/to prospective and/or existing customers
• Accepting orders, closing sales, maintaining customer records, and completing required documentation
• Identifying and qualifying prospective customers and recording sales prospecting activity in Salesforce
• Developing new accounts and/or expanding existing accounts within assigned agencies or geographic territories
• Maintaining a thorough understanding of government procurement procedures and guidelines to ensure that the organization's sales initiatives are fully compliant
• Regularly reviewing pipeline opportunities and providing updates in Salesforce
• Work towards an individual sales quota; may have a target earnings bonus or sales incentive opportunity
• Working with moderately complex territory/assigned accounts, products/services, sales, or account management processes
• Informing customers of new product/service introductions and prices
• Following up on leads with a sense of urgency and provide timely updates to Salesforce
• Maintaining a general understanding and knowledge of our solutions
• Conducting regular onsite and virtual appointments with strategic executives and business partners
• Continuing to build knowledge of business, financials, products/services, the market, or account needs
• Maintaining communication with the Sales Director and other internal stakeholders
• Attending industry conferences and events and represent our company, as required

Artificial Intelligence

• Support the operational design and execution of AI agents and multi‑agent workflows used across business and technology teams.
• Monitor agent behavior, outputs, and reliability in production environments, identifying performance issues, errors, or unexpected behaviors.
• Tune and optimize agent configurations, prompts, workflows, and execution logic to improve output quality and operational stability.
• Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or external data sources.
• Implement and maintain runtime guardrails, escalation paths, and human‑in‑the‑loop controls to ensure safe and compliant AI operation.
• Investigate and resolve operational issues related to agent performance, data access, or system integration.
• Document workflows, configurations, and operational procedures to support repeatability and governance.
• Collaborate with AI engineers, data teams, platform teams, and business stakeholders to support the controlled rollout of AI capabilities.

AI Agent Engineer

• Support the operational design and execution of AI agents and multi-agent workflows used across business and technology teams.
• Monitor agent behavior, outputs, and reliability in production environments, identifying performance issues, errors, or unexpected behaviors.
• Tune and optimize agent configurations, prompts, workflows, and execution logic to improve output quality and operational stability.
• Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or external data sources.
• Implement and maintain runtime guardrails, escalation paths, and human‑in‑the‑loop controls to ensure safe and compliant AI operation.
• Investigate and resolve operational issues related to agent performance, data access, or system integration.
• Document workflows, configurations, and operational procedures to support repeatability and governance.
• Collaborate with AI engineers, data teams, platform teams, and business stakeholders to support the controlled rollout of AI capabilities.

Data Analyst

• Support teams in preparing and maintaining AI‑ready data for use in AI tools, copilots, and intelligent agents.
• Focus on data readiness, quality, metadata, and governance.
• Partner with data engineering, AI, and governance teams to assess data readiness.
• Identify gaps and recommend improvements for data quality and usability.
• Support data quality checks focused on accuracy, completeness, consistency, and timeliness for AI‑consumed data.
• Assist in monitoring and validating data freshness and relevance.
• Assist teams in improving metadata and documentation for AI systems.
• Support general governance, lineage, and compliance awareness for AI‑consumed data.

AI Data Analyst

Data Scientist

• Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models
• Drive and support R&D and operation of data-driven analytical market models: Together with our analysts and market experts, you will co-develop strong quantitative market models to predict key market variables drawing from a wide variety of techniques; guide and support others in the development of models, implement new models as well as model enhancements, such as driving cloud-based model and process automation
• Engage with internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating domain knowledge back into our models and building a deep understanding of operations and decision making in our markets
• Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures
• Develop, test, and roll out new application functionality and change requests following product owner prioritization
• Manage operational models & applications (monitoring, refactoring, update of live services)
• Review and debug code and ensure good code documentation
• Enable efficient communication across teams through fast prototyping and demos of potential solutions
• Expand your knowledge, by learning new techniques and applying them to existing and new analytical problems in our markets. Actively share knowledge and innovation areas with your peers

Senior Data Scientist – Commodity Markets

Business Development Rep

• Achieving revenue targets and drive business growth through effective sales strategies.
• Converting leads to opportunities, ensuring timely and accurate maintenance of accounts.
• Submitting monthly forecast reports and regularly update the sales pipeline.
• Prospecting within the assigned territory to develop and sustain a robust pipeline.
• Developing and manage territory business plans
• Guiding prospects through the sales cycle to contract close, collaborating with presales and specialist teams as needed.
• Supporting customers through onboarding and implementation phases, in partnership with the Partner Success Manager, ensuring a seamless transition and ongoing revenue life cycle management.

Business Development Manager

Product Manager

• Lead the accessibility program for a broad portfolio of Clinical Solutions products
• Set strategy, oversee execution, and guide teams to embed accessibility into product development practices
• Own the Accessibility Program, assess the current compliance posture, identify gaps, and drive the program
• Own conformance documentation (VPATs/ACRs) across all active products
• Partner with Legal on ADA Title III obligations
• Build and maintain the portfolio-level remediation roadmap
• Work with product managers, engineers, and designers to embed accessibility into how we build
• Coordinate a distributed network of accessibility champions embedded in product teams
• Own triage for incoming accessibility issues
• Work with content authoring teams to ensure alt text, captions, reading order, and PDF accessibility are built into how content is created
• Define the metrics that tell leadership whether the program is working
• Create the standards and guidance that raise baseline accessibility capability across product and engineering teams
• Represent the program at the leadership level and in enterprise customer conversations

Senior Accessibility Product Manager, Clinical Solutions

Attorney

• Research regulatory frameworks and identify opportunities for new content and innovation
• Design and build structured content, datasets and pilot compliance solutions
• Translate legal requirements into practical, usable content (not just theory)
• Develop templates, data models and prototype outputs
• Collaborate with legal, product and technical teams
• Use AI tools to enhance research, drafting and content creation

Digital Content Generalist – Legal, AI, Compliance

Analyst

• Provide second-level technical support across multiple platforms and disciplines
• Respond to incidents and service requests with professionalism and urgency
• Deliver clear, concise, and timely updates to stakeholders on issue status and workload
• Identify and resolve project-related challenges to ensure smooth execution and successful completion
• Collaborate with cross-functional teams to meet project goals
• Follow security protocols for proper delegation of accounts and privileges
• Efficiently manage customer support cases in alignment with established support protocols and service standards
• Proactively seek opportunities to improve system operations, with a focus on automation and cost reduction

Tech Customer Support Analyst III

Manager

• Lead the delivery and continuous improvement of the regional data protection and privacy programme
• Provide expert advice and guidance on data protection regulations, including GDPR, POPIA, PDPL and related privacy requirements
• Conduct and oversee privacy impact assessments, risk assessments, and compliance reviews
• Develop, implement, and maintain privacy policies, guidance, processes, controls, and governance frameworks
• Partner with business leaders and functional teams to embed privacy-by-design principles across projects and operations
• Monitor privacy risks, compliance activities, and regulatory developments
• Drive remediation activities and support the resolution of compliance gaps, risks, and audit findings
• Design and deliver privacy awareness, training, and communications programmes
• Build and maintain relationships with stakeholders across all levels of the organisation

Senior Data Protection Manager

• Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks.
• Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives.
• Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions.
• Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities.
• Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations.
• Provide technical leadership and mentorship to other data scientists, promoting analytical best practices and knowledge sharing.
• Ensure alignment with enterprise governance standards, Responsible AI principles, and regulatory requirements.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders, including senior leadership.
• Contribute to the long-term analytical roadmap, supporting innovation, product development, and scalable growth initiatives.
• Evaluate new data assets, analytical methodologies, and emerging technologies that can improve fraud prevention performance.

Senior Data Scientist

Medical Director

• Be the Voice of Clinical Trust Represent Elsevier as a senior clinical authority in high-impact customer engagements, partnerships, global forums and digital marketing.
• Build enduring relationships with healthcare leaders, academic institutions, and professional societies.
• Serve as a thought leader in clinical AI, evidence-based practice, and digital health transformation.
• Ensure that products are optimized to deliver utmost clinical value to users by evangelizing clinician needs.
• Define Clinical Value at Scale Establish what “great” looks like for clinical value across our solutions—from decision support to Competency Management.
• Define a holistic content strategy to evolve current products from providing reference information to providing advanced clinical decision support.
• Assess content data strategy and utilization to inform overarching roadmaps.
• Ensure our products deliver measurable, real-world impact for clinicians and patients.
• Create consistent standards for evidence, transparency, and trust across the portfolio.
• Own how critical clinical decisions are made, escalated, and resolved across the business.
• Act as the ultimate arbiter to ensure clinical efficacy and quality aligns with technical or commercial priorities.
• Partner with product and data science teams to ensure innovation is grounded in clinical best practice and overall efficacy.
• Help shape industry standards for responsible, evidence-based AI.
• Ensure a consistent and trusted clinical voice across the entire clinician journey.

Global Chief Medical Officer

Solutions Engineer

• Engage with customers at early sales stages to understand business goals, technical constraints, and IT status
• Lead solution investigation, technical requirement decomposition, and feasibility assessment
• Translate business problems into executable technical solution options and architecture documentation
• Understand customer-side system architectures, data governance frameworks, and regulatory constraints
• Design integration pathways for Elsevier products in China-specific scenarios
• Lead LLM application’s architecture and design and evaluate local ecosystems’ interface with Elsevier AI solutions
• Design data integration between Elsevier products and customer systems
• Ensure proposals are viable within China-specific constraints, including network, cloud and data residency
• Ensure compliance with China regulatory requirements, including Cybersecurity Law and PIPL
• Provide technical cost and implementation complexity assessments to support business case development
• Provide solution-level technical input into RFQ and proposal processes.
• Contribute to China GTM technical strategy, including API monetisation and data-as-a-service opportunities
• Use rapid prototyping method and tools to accelerate validation cycles with all stakeholders
• Lead the design and execution of technical POCs and early demos.
• Ensure demo outcomes stay within product capability boundaries while supporting business decisions
• Collaborate with cross-functional teams and stakeholders for business initiatives, projects and operations
• Maintain alignment with global architecture standards and best practices
• Maintain documentation for architecture, design, proposals, and workflows
• Participate in architecture governance process and collaborate with team to surface risks and refine solutions
• Coach local engineering team members on architecture best practices
• Develop understanding of China research market’s AI transition, and influence customers’ technical planning
• Support collaboration across Chinese research institutions for new requirement gathering and risk prediction
• Track the China AI research tools landscape and support technically informed positioning of Elsevier solutions

Product Solution Architect, A&G

Client Partner

• Own and grow a portfolio of large law firm accounts, focusing on long-term relationships, product adoption, and measurable client value
• Partner closely with customers to understand their priorities and position LexisNexis solutions as business‑critical tools
• Drive renewals and expansion through proactive account planning, uncovering unmet needs, and delivering tailored, consultative solutions
• Build and execute strategic growth plans across defined territories in partnership with product specialists, customer success, and GTM operations
• Position LexisNexis legal research, analytics, and AI‑enabled workflow platforms as essential solutions aligned to client practice groups and operational goals
• Develop trusted relationships with senior stakeholders including managing partners, firm leadership, KM leaders, and practice chairs
• Navigate complex buying groups and firm hierarchies to secure renewals and expand key relationships
• Use Salesforce, Gong, and Seismic to maintain pipeline discipline, track engagement, surface insights, and inform outreach strategies
• Provide structured feedback to internal teams based on client insights and usage patterns

Legal Client Manager – Large Law Firms

Technical Account Manager

• Perform technical investigations into complex, real-world issues affecting production systems
• Analyze application logs, configuration files, data feeds, and database records to identify possible root causes
• Reproduce issues by building and configuring realistic test environments
• Debug behavior across distributed systems, APIs, messaging middleware and databases
• Work directly with Product teams to file high-quality defect reports and influence product improvements
• Participate in critical incident (Severity-1) troubleshooting with customers and internal teams
• Continuously build expertise as new features, architectures and technologies are released