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LexisNexis Legal & Professional

Legal, government, and business intelligence platform

Global Head of Analytical Editorial Operations

Business OperationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of experience leading a global operation at scale, including accountability for delivery, quality, and financial performance.
  • Experience supporting and interacting with diverse, high-level profit-and-loss stakeholders.
  • Experience managing budgets.
  • Experience leading through organizational transformation.
  • Strong process, engineering, and systems orientation.
  • Experience operating global delivery models and managing vendor partnerships at scale.
  • Demonstrated experience leading artificial intelligence, generative artificial intelligence, automation, or other technology-enabled business transformation initiatives from strategy through scaled operational adoption.
  • Experience partnering with Product, Technology, Data Science, commercial, and operational teams to deliver customer-facing artificial intelligence or digital-product outcomes.
  • Experience applying data, customer feedback, and quality measures to improve content, search, retrieval, or artificial intelligence-generated answer experiences.
  • A Bachelor of Arts or Bachelor of Science degree plus a Juris Doctor, Master of Business Administration, another advanced degree, or equivalent experience.
  • Commercial fluency to make the case for content investments in revenue, retention, and product-performance terms with Segments, Product, and Finance leadership.
  • Ability to lead global cross-functional, team-based, deadline-intensive strategic initiatives and delivery collaboratively.
  • Ability to build empirical cases linking content quality and coverage to product and customer outcomes, using retrieval performance, usage behavior, and customer research.
  • Organization, project-planning, time-management, change-management, and delegation skills across multiple functional groups and departments, including prioritizing and reprioritizing projects and managing projects of various costs, sizes, and complexity.
  • Advanced problem-solving experience leading teams to identify, research, and coordinate resources to troubleshoot and diagnose complex issues; translate findings into alternatives and solutions; identify risks and impacts; and facilitate management decision-making.
  • Interpersonal, communication, and presentation skills for a wide audience, including senior and executive management and customers, including presenting information concisely and effectively to various departments.
  • Ability to drive strategic projects cross-functionally by structuring problems, analyzing opportunities, developing solutions, and producing actionable recommendations and results through a rigorous, data-driven process.
  • Ability to develop change-management plans and drive business-transformation efforts.
  • Ability to gather and analyze data, formulate and test hypotheses, synthesize findings, develop go-forward plans, and translate recommendations into results.
  • Ability to motivate and inspire the direct organization and peers.
  • Ability to influence others to work collectively toward short- and long-term goals.

Responsibilities

  • Set the global strategy, operating roadmap, and priorities for Analytical Editorial Operations, ensuring consistent execution across a 150-person organization spanning Asia, North America, the Pacific, and the UK.
  • Partner with Segments, Product, GTO, Data Science, Product Operations, and commercial leaders to improve the creation, delivery, and activation of global Analytical products.
  • Lead global adoption and scaling of generative-AI-enabled Analytical content capabilities, including the Agentic Content Platform, ACE, and generative-AI-augmented content updating.
  • Transform Analytical content workflows to improve content currency, structure, discoverability, and operational efficiency while maintaining rigorous editorial quality and customer trust.
  • Prioritize content and workflow investments that improve the quality, relevance, completeness, and trustworthiness of answer sets in Protégé.
  • Own author and expert relationships for the Analytical portfolio, including recruitment and retention in partnership with Commercial, and own the editorial standards that sustain external authority.
  • Establish global standards, governance, performance measures, and appropriate human-in-the-loop controls for generative-AI-enabled editorial workflows, including quality assurance, content risk management, and escalation mechanisms.
  • Use customer feedback, editorial outcomes, usage data, and operational metrics to drive data-informed decisions and continuous improvement in content quality, customer experience, and operating performance.
  • Provide strategic insight, clear performance reporting, and recommendations on content systems, operating models, and global best practices to the Senior Vice President of Global Editorial Operations.
  • Lead global planning, resource allocation, and financial management for the Analytical organization, including budget management, cost projections, and investment priorities.
  • Build a high-performing, future-ready global workforce through talent development, reskilling, recruitment, change leadership, and global adoption of proven tools, processes, and best practices.
  • Set and execute the global strategy and operating roadmap for generative-AI-enabled Analytical content, including the Agentic Content Platform, ACE, and generative-AI-augmented content updating.

Desired Qualifications

  • Legal-content, secondary-content, publishing, or information-services experience is strongly preferred.

About the Company

LexisNexis Legal & Professional

Legal, government, and business intelligence platform

LexisNexis Legal & Professional provides legal, government, business, and high-tech information through subscription-based access to a vast repository of licensed news publications and corporate data. Its offerings, such as Nexis AI, enable advanced research, intelligence gathering, and automatic document summarization for professionals in law firms, corporations, government agencies, and academic institutions. The platform works by delivering curated information and insights from millions of companies and publications via a search and analysis interface, helping users find accurate information quickly. The company differentiates itself with a long history of service, a broad, licensed data library across multiple sectors, and AI-powered tools that streamline research and decision-making. Its goal is to help clients make informed decisions, achieve a competitive advantage, and boost efficiency by providing trusted information and tailored analytics.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$30M
Headquarters
New York City, New York
Founded
1973

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