You will establish the quality standards, monitoring, and governance needed to ensure that the metadata our products rely on remains trustworthy over time. This includes partnering closely with Product and Engineering teams to make sure the data foundation supports customer-facing search and AI experiences.
Responsibilities
Lead offshore and internal teams, including hiring, training, performance management, and employee development.
Own execution and reliability for content ingestion, metadata extraction, entity resolution, canonical models, and data quality processes.
Establish standards, monitoring, SQL-based validation, escalation paths, and review routines to support search and AI capabilities at scale.
Partner with Product and Engineering to define structured data and metadata needs for customer-facing search, benchmarking, analytics, and AI experiences.
Communicate technical concepts, tradeoffs, and data quality considerations clearly to engineering, product, and business stakeholders.
Establish monitoring, quality metrics, and improvement practices to identify regressions, adapt to source-content changes, and improve metadata accuracy and completeness.
Plan and deliver data platform enhancements while balancing new capabilities, technical debt, and maintenance priorities.
Drive continuous improvement in data quality, reliability, and operational processes.
Requirements
Experience leading content engineering, data engineering, information engineering, or similar functions focused on transforming structured and unstructured content into trusted information products.
Experience leading and developing teams in a management capacity.
Advanced understanding of content ingestion, metadata extraction, entity resolution, data modeling, and information quality.
Experience automating metadata extraction, normalization, and enrichment pipelines using appropriate rule-based, machine learning, or LLM-based approaches.
Strong understanding of normalized data modeling, canonical entity design, metadata schemas, and provenance.
Strong proficiency with relational databases, SQL, and data storage technologies, including investigation, validation, monitoring, and analysis activities.
Strong analytical, root-cause analysis, and problem-solving skills with a focus on customer-facing data quality and reliability.
Ability to collaborate effectively with technical and non-technical stakeholders and manage competing priorities.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. 

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

Base Pay Range for CO is $115,400 - $192,300. Base Pay Range for IL is $121,200 - $201,900. Base Pay Range for Chicago, IL is $126,900 - $211,500. Base Pay Range for MD is $121,200 - $201,900. Base Pay Range for NY is $126,900 - $211,500. Base Pay Range for New York City is $138,400 - $230,700. Base Pay Range for Rochester, NY is $115,400 - $192,300. Base Pay Range for OH is $109,500 - $182,700. Base Pay Range for NJ is $136,213- $217,587.


This job is eligible for an annual incentive bonus.





Application deadline is 12/04/2026.

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