LexisNexis

Systems Engineer

• Operate and support enterprise AI platforms (e.g. Microsoft Power Platform, ChatGPT, Azure AI)
• Serve as a senior escalation point for AI-related incidents, leading root cause analysis, remediation, and continuous improvement of platform resilience
• Implement and maintain AI integrations and interoperability, including support for open standards such as the Model Context Protocol (MCP)
• Enforce AI governance, security, and compliance, aligning solutions with RELX Responsible AI principles, data protection, and regulatory requirements
• Design and maintain automation and CI/CD pipelines to support repeatable, secure deployment and efficient AI operations
• Collaborate across engineering, architecture, security, and product teams to align AI standards, tooling, and operational practices
• Enable and educate internal teams, contributing to documentation, runbooks, and best practices to support effective and responsible AI adoption
• Implement and enforce AI governance and compliance frameworks

Senior Systems Engineer

Data Analyst

• Consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions.
• Develops advanced insights and recommendations within their domain.
• Uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences.
• Independently leads high-complexity analytics projects and mentors junior analysts.
• Partners with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.
• Supports stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.
• Prepares and transforms data using advanced blending, refinement, and quality techniques (including large/complex datasets).
• Applies statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.
• Creates clear, compelling data visualizations and narratives tailored to the target audience.
• Leads and executes analytics projects independently, including scoping, planning, and managing deliverables to deadlines.
• Serves as a subject matter expert within an assigned domain and coaches/mentors junior team members.
• Develops working knowledge of adjacent disciplines and how they influence analytics needs and interpretation.
• Leverages approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality.

Global Operations Senior Data Analyst

Onboarding Specialist

• Delivering superior client service and ensure each customer interaction reinforces confidence in LexisNexis.
• Managing and coordinate onboarding activities as the customer’s primary point of contact, guiding them through both live and digital touchpoints.
• Utilizing automation tools, workflow platforms, and AI-assisted onboarding processes to streamline customer setup and reduce time-to-value.
• Diagnosing and resolve issues using department tools, resources, and business judgment, escalating unresolved matters when appropriate.
• Monitoring and optimizing digital onboarding journeys, identifying friction points and recommending improvements.
• Creating onboarding documentation, digital guides, and AI-enhanced self-service training materials that support scalable customer success.
• Using generative AI solutions to accelerate content creation, analyze customer inquiries, and enhance knowledge resources.
• Leveraging onboarding analytics and dashboards to track progress, measure customer engagement, and propose enhancements.
• Collaborating with cross-functional teams to evolve onboarding workflows, automation capabilities, and customer experience technologies.
• Serving as a role model demonstrating continuous improvement, professionalism, and alignment with company objectives.
• Promoting excellence through high productivity, accuracy, and quality-focused decision-making.
• Working effectively as part of a team, fostering collaboration and proactively supporting team initiatives.

Customer Onboarding Specialist

Account Executive

• Identifying key contacts and decision makers within a customer organization and develops exceptional relationships with those contacts.
• Creating and implementing Account Plans within the prospective accounts
• Driving new business opportunities to exceed quota and annual sales targets
• Collaborating effectively with all internal stakeholders including Product Management, Marketing, Operations, and Implementation.
• Providing accurate reporting and forecasting of sales.
• Keeping current records and building account profiles by updating account and contact information and managing account data in our CRM.
• Promoting, driving, and delivering on any promotional product strategies.
• Performing effective product demonstrations remotely through Zoom or other technology-based applications.

Sales Executive – ClinicalKey AI

Product Manager

• Engaging with customers to gather, evaluate and understand customer use cases
• Leveraging and identifying metrics and data to track progress on customer needs and project budgets to inform decisions, evaluate options, and recommend actions
• Writing and presenting detailed technical user stories to internal stakeholders
• Providing sales and marketing with information to support product launches, go-to-market initiatives, and training efforts

• driving new business sales
• developing key relationships
• driving product value
• prospecting for new business sales through a high volume of cold calling and follow up in assigned territory
• learning, understanding and demonstrating our world class products to prospects
• certification and mastery around demonstrating our world class products
• achieving or exceeding consistent monthly, quarterly, annual sales goals and sales KPIs

Field Account Executive – Federal Government

Client Partner

• Driving renewals and upsells by executing proactive account plans, uncovering unmet needs, and delivering tailored, consultative solutions to legal professionals
• Building and executing strategic growth plans across defined territories by partnering with product specialists, customer success, and GTM operations to maximize client lifetime value
• Positioning LexisNexis’ legal research, analytics, and AI-enabled workflow platforms as business-critical solutions tailored to practice groups, knowledge management, and firm operations
• Developing trusted relationships with key stakeholders including managing partners, C-suite executives, KM leaders, and practice chairs to expand influence and opportunity within each firm
• Navigating complex buying groups and firm hierarchies to secure renewals, grow key relationships, and align solutions to operational priorities and decision-making structures
• Leveraging Salesforce, Gong, and Seismic to drive pipeline discipline, monitor engagement, surface insights, and inform both outreach strategy and internal product feedback loops

Client Manager – Large Law Firms

General Counsel

• Prepare, review and negotiate legal contracts
• Provide legal advice on a variety of matters, including technology agreements, data security, intellectual property, licensing, litigation, procurement and artificial intelligence
• Proactively manage risk through training and coaching of business partners on legal and compliance matters
• Succinctly and effectively communicate legal issues to internal clients
• Effectively integrate legal and business knowledge to develop practical business solutions
• Support the successful execution of LexisNexis' goals and strategies

Corporate Counsel

Full-stack Engineer

• Release management inclusive of sign off for a well-formed test plan, rollback plan communication plan and release notes.
• Resource management inclusive of administrative duties such as time and attendance, resource planning, performance management, 1 on 1 chats and career development.
• Project management duties such as agile ceremonies, backlog refinement and business engagement.
• Technical leadership in solution design, technical implementation, output quality and coaching of team members in accordance with software engineering best practices and design patterns.
• Owning the team strategy for futureproofing, maintenance and improvement.
• Support management of queries escalated to the development team.
• Implementation (writing code, automation tests and devops activities), complex technical specifications and review of new features, enhancements and bug fixes.
• All other duties assigned.

Software Engineering Lead

Analyst

• Assess the impact of business, process, and role changes and identify potential risks or resistance
• Support the development and execution of change plans, including communications, training, and stakeholder engagement
• Create clear, accessible communication materials that explain the purpose and impact of change initiatives
• Partner with Learning & Development and project teams to support effective training and adoption
• Gather and analyse feedback to track adoption, engagement, and effectiveness of change initiatives
• Provide guidance and support to managers and teams during periods of transition
• Document insights, lessons learned, and best practices to support continuous improvement
• Help ensure change activities are inclusive, accessible, and aligned with employee well-being and engagement

Change Management Analyst II

Data Engineer

• Lead the design, configuration, deployment, data migration, and production support of Salesforce solutions supporting complex enterprise processes.
• Own end-to-end Salesforce data migration efforts, including data modeling, extraction, transformation, loading (ETL), validation, reconciliation, and post-migration support.
• Design, develop, and maintain SQL and PL/SQL scripts to support data migration, integration, optimization, and ongoing data maintenance.
• Ensure data accuracy, consistency, and synchronization across Salesforce, legacy CRM systems (e.g., Siebel), ERP, billing, and downstream platforms.
• Build and customize Salesforce solutions using Apex, Lightning Web Components (LWC), SOQL/SOSL, and declarative automation (Flows, validation rules, approvals).
• Integrate Salesforce with ERP, order management, billing, and other enterprise systems using REST/SOAP APIs.
• Act as a technical subject matter expert, ensuring solutions are scalable, secure, high-performing, and aligned with enterprise architecture standards.
• Lead technical design sessions, code reviews, and enforce development best practices and coding standards.
• Provide production support, including incident management, root-cause analysis, performance tuning, defect resolution, and enhancements.
• Collaborate with onsite and offshore teams, mentor developers, and guide technical execution across multiple initiatives.
• Translate business requirements into technical designs, data mapping documents, and solution architecture.
• Work within Agile/Scrum or Waterfall methodologies, contributing to sprint planning, release management, and CI/CD deployments.
• Maintain comprehensive technical documentation, including data mappings, migration plans, integration specifications, and operational runbooks.
• Stay current with Salesforce platform releases and industry best practices; proactively recommend improvements.

Principal Developer – Salesforce Data Migration, Production Support

Strategy

• Lead a structured review of current segment‑level GTM workflows, handoffs and decision‑making
• Map customer needs, value drivers and commercial patterns by segment
• Identify pain points, gaps, bottlenecks and opportunities for alignment
• Design a segment‑led GTM operating model with clear roles, governance, cadence and workflows
• Facilitate cross‑functional workshops to validate segment distinctions and execution realities
• Develop a phased implementation roadmap with pilots, dependencies and capability requirements
• Lead the end‑to‑end redesign of the customer onboarding and engagement journey, from sales handover through adoption and expansion
• Benchmark against best‑in‑class onboarding models and identify opportunities for digital guidance and GenAI‑enabled scale
• Provide practical, actionable recommendations for leadership endorsement

APAC Strategy Consultant

Business Development Rep

• Manage all commercial interactions with assigned accounts, focusing on growth opportunities and maintaining strong relationships with existing clients
• Identify and execute on upsell and cross-sell opportunities in collaboration with the Client Engagement Manager
• Handle customer queries from the automated renewal process, addressing cancellation and downsell requests effectively to retain clients
• Manage customer conversations when they request to speak to a representative rather than selecting a renewal option through the self-service portal
• Follow up on marketing leads from existing customers to explore potential growth opportunities
• Follow up with customers who engage with in-app offers
• Leverage data insights and recommendation engines to prioritize efforts on customers with the highest growth potential and to understand common subscription patterns among similar customers
• Uncapped Commission Structure will be a reward for meeting and exceeding the growth and retention targets set for the territory, in addition to the opportunity for Quarterly Sprint Incentives

Account Development Manager

Events

• Plan, execute, and optimize high-impact events that drive brand awareness, pipeline growth, and customer engagement
• Own our event strategy across in-person, virtual, and hybrid experiences—including conferences, trade shows, field events, webinars, and proprietary events
• Partner with marketing, sales, and product teams to ensure events drive measurable pipeline and engagement
• Create event messaging and positioning in collaboration with content and brand teams
• Oversee lead capture, attribution, and post-event nurture strategies
• Analyze performance metrics (attendance, engagement, pipeline, ROI) and present insights to stakeholders
• Manage external vendors, agencies, venues, and technology platforms

Events Marketing Manager

• Support Global Operations by designing, building, and maintaining reliable data pipelines and platforms.
• Enable high‑quality analytics and AI‑ready data while improving automation, performance, and scalability.
• Close collaboration with technical and business partners.
• Design, build, and maintain scalable data pipelines and integrations that support analytics and AI use cases.
• Develop high‑quality, well‑tested code that follows best practices for readability, security, and maintainability.
• Use SQL as a primary tool to query, transform, validate, and optimize data across systems.
• Document data requirements and contribute to specifications for analytics and AI‑enabled workflows.
• Troubleshoot and resolve data issues through root cause analysis and appropriate automation or tooling.
• Identify opportunities to improve efficiency through automation, orchestration, or AI‑assisted processes.
• Participate in code reviews and development processes that promote reproducibility, transparency, and data quality.
• Support database and data flow management to ensure systems meet organizational standards for reliability and AI readiness.