Jobs at LexisNexis

Lead backend design, architecture, implementation, deployment and maintenance for AI-related projects. Mentor engineers, run experiments on large datasets, collaborate with DevOps and global stakeholders, and drive performance, scalability, and reliability improvements.

Lead and mentor a data science team to design, implement, and maintain scalable ML and NLP solutions (including LLMs and RAG), deliver predictive models, collaborate cross-functionally, and communicate insights to stakeholders.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

Conduct advanced data analysis and modeling, build and deploy ML/AI solutions (especially LLMs and generative models), preprocess large datasets, create visualizations, collaborate cross-functionally, document work, and drive research and evaluation of NLP/LLM approaches.

Manage commercial relationships across a portfolio of small law firm accounts to drive revenue growth, handle renewals and churn prevention, identify upsell/cross-sell opportunities with Client Engagement Managers, follow up on leads and in-app offers, and use data-driven insights and recommendation engines to prioritize high-potential customers.

Develop and maintain pricing strategies and infrastructures, respond to internal pricing inquiries, analyze pricing data, support deal approvals and contract terms, collaborate with sales/segment/legal teams, and recommend pricing changes to senior roles.

Design, develop, and maintain complex Java-based systems using Apache Camel and Spring Boot. Implement AWS solutions (ECS, Lambda, S3, SQS, Step Functions), resolve security vulnerabilities, integrate payment webservices, mentor junior engineers, and drive development best practices and architecture decisions.

Drive new business acquisition in Legal, Corporate, Government, and Academic sectors through strategic sales plans and client relationship management.

Design and govern scalable agentic AI platforms aligned to business workflows. Create reusable agent patterns, interfaces, and orchestration flows; establish governance, safety, observability, and CI/CD lifecycle management; partner with product, platform, and cloud teams to enable composable, reusable agent services across domains.

Lead market insight, external engagement, and relationship development to position LexisNexis as the leading provider of legal AI solutions for large in-house legal teams; influence product, strategy, and commercial initiatives and represent the company at industry events.

Manage new sales and renewals for Research Intelligence across the Midwest. Use consultative selling to expand accounts, drive renewals, execute account strategies, maintain Salesforce/Clari accuracy, gather market feedback, support product/GT M, attend trade shows, and build relationships with senior stakeholders in academic and research institutions.

Lead a US-focused editorial team to produce timely, accurate legal content. Manage resources, implement modern workflows (including AI-enabled tools), use data to improve processes, and collaborate across product, technology, and operations while coaching and developing staff.

As a Senior Consulting Principal AWS Cloud Engineer, you will lead architectural practices, define AWS strategies, optimize multi-cloud solutions, and mentor teams to ensure operational excellence and compliance.

Manage and grow a portfolio of Middle East accounts by building relationships with law firms, corporate legal teams, and government organisations. Drive renewals, expansion, and adoption through account plans, demos, health monitoring, forecasting, and collaboration with Customer Success, Marketing, and Product.

Serve as Scrum Master for one or more cross-functional engineering teams, facilitate Agile ceremonies, coach on Agile practices, improve delivery predictability, identify and remove bottlenecks, coordinate dependencies, and partner with Product Operations and TPMs to translate portfolio priorities into realistic team execution.

Partners with stakeholders to define business questions, prepare and transform large datasets, perform intermediate statistical analyses, and create visualizations (Tableau/Power BI). Manages analytics projects, leads small initiatives, ensures data quality and reproducibility, integrates multiple data sources using SQL/Python and Databricks, and communicates actionable insights to support strategic and operational decisions.

Develop and execute strategic account plans across Southern & East Africa to grow revenue from existing clients, drive retention, upsell/cross-sell, follow up regional leads, use social selling, maintain forecasts in Salesforce, collaborate cross-functionally, monitor market/regulatory changes, and travel quarterly to the region to meet revenue targets.

Lead global AI-first transformation for legislative content: define strategy, prioritize AI-enabled content generation and optimisation, deploy AI editorial tools, set standards for AI content, measure performance, and drive adoption across product, technology and editorial teams worldwide.

Drive new business and expand existing accounts for LexisNexis solutions by managing full sales cycle, building long-term customer relationships, meeting revenue targets, using CRM and AI tools, and supporting product adoption and retention.

Lead and mentor a data science team to build scalable predictive models and LLM/RAG-based NLP solutions. Drive experiments on large datasets, collaborate cross-functionally, communicate insights to stakeholders, and oversee model architecture, performance, and reliability.