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LexisNexis Legal & Professional

Legal, government, and business intelligence platform

Operations Technical Lead

Business OperationsConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Two to three years of experience in content operations, digital publishing, technical operations, project management, or a related field.
  • Hands-on experience with XML, XSD, and markup troubleshooting; familiarity with XSLT and XPath.
  • Experience monitoring content data flows and resolving production issues.
  • Strong systems thinking and troubleshooting skills.
  • High attention to detail and a quality mindset.
  • Proven cross-functional collaboration and communication skills.
  • Experience in automation and AI-enabled workflows.
  • Strong documentation skills.

Responsibilities

  • Build and maintain new and replacement content sources across multiple content types.
  • Perform end-to-end conversion troubleshooting, ensuring accurate transformation from source input to customer-ready content across digital and print formats.
  • Analyze input data (XML, HTML, Word, InDesign, PDF) to ensure proper conversion handling, metadata accuracy, and compliance with conversion specifications.
  • Resolve XML markup and structural issues across multiple content types, ensuring consistency across digital and print outputs.
  • Ensure outputs align with product requirements and downstream platform behavior.
  • Create and execute UAT plans and test cases for new features, product launches, and workflow changes.
  • Validate functional and non-functional requirements across content and platform workflows.
  • Track and manage defects in tools such as Azure DevOps, partnering with Engineering, QA, Product, and vendors to triage, prioritize, and validate fixes.
  • Maintain and continuously improve QA checklists, business rules, and acceptance criteria.
  • Help reduce defect escape rates through proactive validation and quality controls.
  • Monitor content data pipelines from editorial through conversion to delivery of customer-ready content across digital and print formats.
  • Diagnose and remediate data, conversion, and integration issues across systems.
  • Drive cross-functional alignment across Editorial, Product, Engineering, and offshore partners to resolve issues efficiently.
  • Address customer-facing concerns by prioritizing, investigating, and resolving issues.
  • Identify and support opportunities for automation and AI-enabled workflow improvements.
  • Contribute to modernization and migration initiatives by evaluating impact, dependencies, and risks.
  • Support improvements to conversion frameworks, blueprints, and workflows to increase efficiency.
  • Maintain documentation, standards, and governance.
  • Communicate issues, risks, decisions, and impacts clearly.
  • Partner with Editorial, Product, Engineering, IT, vendors, and offshore teams to resolve blockers and maintain delivery momentum.

Desired Qualifications

  • Familiarity with tools such as Azure DevOps or Jira.

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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