Lead, Content Data Engineering & Data Quality

LexisNexis; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Flexible hours

Wellbeing initiatives

Job summary

LexisNexis is seeking a leadership role to transform raw legal and regulatory content into trusted, structured information powering Intelligize's analytics and AI experiences. You will guide data ingestion, metadata extraction, and canonical models while ensuring high data quality and reliability.

You will collaborate with Product and Engineering to align on data foundations, governance, and scalable data platforms, supporting customer-facing search and analytics at scale.

Qualifications

• Experience leading content engineering, data engineering, or information engineering teams.
• Experience managing 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.

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 for 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 and data quality considerations clearly to engineering, product, and business stakeholders.
• Establish monitoring, quality metrics, and improvement practices to identify regressions and adapt to content changes.

Skills

Leading teams

SQL proficiency

Data modeling

Metadata extraction/enrichment

Stakeholder communication

Problem solving

Tools

SQL databases

Ingestion frameworks

Job description

LexisNexis is seeking a leadership role to transform raw legal and regulatory content into trusted, structured information powering Intelligize's analytics and AI experiences. You will guide data ingestion, metadata extraction, and canonical models while ensuring high data quality and reliability.

You will collaborate with Product and Engineering to align on data foundations, governance, and scalable data platforms, supporting customer-facing search and analytics at scale.