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Head of North America Analytical Editorial Operations

Job in New York, New York County, New York, 10261, USA
Listing for: LexisNexis
Full Time position
Listed on 2026-02-20
Job specializations:
  • Management
    Data Science Manager, Program / Project Manager
  • IT/Tech
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

About The Team

Lexis Nexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

About

The Role

The Head of North America Analytical Editorial Operations is a strategic leader responsible for driving content portfolio strategy, operational excellence, and enterprise change management—ensuring content is commercially aligned to Commercial priorities, and delivered through scalable, AI-enabled workflows with rigorous quality and governance. The incumbent leads a multi-layered organization (including people leaders who manage teams) and partners closely with Commercial, Product, Technology, and Segment leaders to deliver customer value.

Reporting to the Global Head of Analytical Editorial Operations, the incumbent is a member of the Global Analytical Leadership Team, helping shape strategy, standards, and operating model evolution.

Key Responsibilities
  • Partner with Segment and Commercial leaders to translate market/customer needs into portfolio priorities, content initiatives, and launch readiness; ensure editorial commitments are aligned, transparent, and delivery-ready.
  • Lead a multi-layered leadership team (directors and managers), ensuring strong accountability, coaching, succession planning, and consistent performance management across people leaders and teams.
  • Drive transformation for AI-enabled, agentic delivery, ensuring analytical content is optimized for accuracy, currency, structure/metadata, and explainability needs within AI-powered customer experiences; sponsor adoption of AI-assisted workflows with strong human-in-the-loop standards and governance.
  • Bring strong product fluency and steer cross-functional delivery, partnering with Product and Technology to shape roadmaps, define requirements, and lead/guide project teams through execution—ensuring editorial and operational needs are translated into scalable platform capabilities.
  • Own budgets and cost efficiency, including multi-million-dollar author and contractor spend, resourcing strategy, and operating plans.
  • Build and scale external author pool, including scaling recruitment, onboarding, and retention of high-caliber experts; strengthen commissioning strategy and author network health.
  • Establish KPI discipline and high-quality reporting, creating a single source of truth for quality, currency, throughput, cycle time, and cost efficiency; use data to identify risks, performance gaps, and improvement actions.
  • Stay market-savvy, maintaining strong awareness of legal practice developments, competitive landscape, and emerging AI trends; bring insights into roadmap planning, portfolio decisions, and product/content differentiation.
Requirements
  • Juris Doctor (JD) required; practice experience preferred.
  • Significant leadership experience in legal content (or adjacent knowledge/content businesses), including managing leaders and leading change in matrixed environments.
  • Strong product fluency and proven ability to steer cross-functional programs from concept to delivery with Product and Technology partners.
  • Demonstrated budget ownership, resource planning, and operational efficiency execution while maintaining quality and risk controls.
  • Advanced AI fluency—proven ability to set strategy and governance for AI-assisted content at scale, including establishing review/validation standards, coaching leaders and teams on adoption, and driving sustained workflow change with clear quality and risk controls; comfort with large datasets, dashboards (e.g., Tableau), and Excel; ability to translate metrics into strategy and actions.
  • Executive-level communication skills; comfortable with stakeholder presentations on…
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