Home-Based Operations Tech Lead — AI‑Driven Content

RELX INC

Kuala Lumpur

On-site

MYR 90,000 - 130,000

Full time

7 days ago

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Benefits offered by this job

Medical Insurance

Long Service Award

Learning & Development Resources

Job summary

LexisNexis Legal & Professional is seeking an Operations Technical Lead in Malaysia to drive content operations, conversion, and QA across digital and print platforms. You will partner with Editorial, Product, Engineering, and Operations teams to manage content conversion, troubleshoot data issues, and lead testing to ensure high-quality legal information for customers.

The role emphasizes automation and AI-enabled workflows, with opportunities to influence modernization, data pipelines, and

Qualifications

2 to 3 years of experience content operations, digital publishing, technical operations, project management or related field.
Hands-on experience with XML, XSD, and markup troubleshooting; familiarity with XSLT/XPath.
Experience monitoring content data flows and resolving production issues.
Strong systems thinking and troubleshooting skills.
High attention to detail and quality mindset.
Proven cross-functional collaboration and communication skills.
Experience in automation and AI-enabled workflows.
Strong documentation skills.
Familiarity with tools such as Azure DevOps or Jira is a plus.

Responsibilities

Build and maintain 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.
Monitor content data pipelines from editorial through conversion to delivery of customer-ready content across digital and print formats.
Create and execute UAT plans and test cases for new features, product launches, and workflow changes.
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.
Identify and support opportunities for automation and AI-enabled workflow improvements.