Execute the strategic roadmap for content portfolio delivery and enhancement, balancing revenue growth with disciplined cost management, including close oversight of author fee budget.
Develop a high-performing editorial team, ensuring strong practice area coverage across internal teams and external expert authors while fostering accountability, adaptability, and continuous learning.
Drive answer quality for L+AI experiences by ensuring analytical content performs effectively within agentic content solutions, partnering with Product and Technology to improve accuracy, relevance, and explainability of AI-generated outputs through strong editorial standards and feedback loops.
Lead implementation of AI-enabled content creation and updating workflows, setting clear expectations for effective human-in-the-loop review, quality standards, and appropriate use of editorial judgment.
Ensure content readiness for AI-powered products by driving consistency, structure, metadata quality, and adherence to harmonized global standards.
Spearhead performance metrics and dashboards to monitor operating health, validate decisions, and drive continuous improvement across content quality, speed, and efficiency.
Partner closely with Commercial, Product, Technology, Content Operations, Legal, Marketing, and Segment teams to identify new content opportunities and enhance the customer experience.
Requirements
Juris Doctor (JD) required; practice experience preferred.
Experience in legal content (or adjacent knowledge/content businesses), including at least 7 years’ experience managing a team with strong coaching orientation and ability to drive accountability and change in matrixed organizations.
Hands-on experience deploying AI in workflows (content/knowledge domain preferred), translating use cases into scalable operating models with a focus on measuring impact on quality, throughput, and risk.
Experience leading AI adoption and driving sustained workflow with clear results.
Strong data and analytics proficiency, including using Excel and data visualization tools (e.g., Power BI/Tableau) to build scalable reporting, diagnose performance drivers, and guide operational and quality decisions with data.