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The Lexis Associate position is a student representative role for currently enrolled law school students, focused on supporting LexisNexis content and solutions.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

Build relationships with General Counsel and legal operations leaders at F1000 companies to discover needs, deliver tailored demonstrations of LexisNexis AI and Workflow solutions, and drive new sales and upsells while tracking implementations and client outcomes.

Analyze article and newsletter performance, translate data into concise insights for editorial decision-making, run and interpret A/B headline tests, track audience behavior across products and channels, identify high-performing formats and topics, and collaborate with editorial, product, and marketing teams to grow subscriber engagement.

Support finance stakeholders by analyzing, validating, and troubleshooting financial and operational data, building budgeting/forecast models, creating dashboards and variance/root-cause analysis, and delivering actionable insights to improve commercial outcomes.

Lead product planning and go-to-market strategy for the Law School market: translate customer insights and usage data into roadmap priorities, coordinate cross-functional launches, define requirements, drive adoption and tracking, and partner with Product, Marketing, Sales, and Operations to grow active users and downstream commercial outcomes.

Partner with in-house legal teams to design and implement tailored LexisNexis AI and workflow solutions, lead demos and training, drive adoption, identify expansion opportunities, gather client feedback for product and development teams, and support clients in the field (50% travel).

Lead execution of integrated marketing programs for the large law segment across webinars, digital advertising, marketing operations, and creative. Build scalable demand-generation programs, manage teams and agencies, align with sales/product, set KPIs, ensure data integrity in marketing automation/CRM, and optimize performance to drive awareness, engagement, and pipeline for AI/SaaS legal technology solutions.

Lead strategy and commercial performance for U.S. secondary legal content. Use customer insights and usage data to inform portfolio, content development, AI readiness, licensing, and go-to-market activities. Collaborate with Product, Sales, Marketing, Editorial, Legal, and global teams to drive content quality, monetization, and operational compliance.

Lead a team of Customer Success Consultants to drive trial enablement, onboarding, and adoption of drafting and DMS-integrated solutions for law firms. Build scalable programs, analyze usage data to identify expansion and risk, collaborate cross-functionally with Sales, Product, Marketing, and Data Science, engage executive stakeholders, and support renewals by improving customer health and demonstrating measurable value.