Content Data Engineering Lead

RELX; New York (NY); On-site; USD 126,900 - 211,500; Full time

Benefits offered by this job

Annual incentive bonus

Wellbeing initiatives

Parental leave

Study assistance

Sabbaticals

Job summary

LexisNexis Legal & Professional seeks a senior leader to orchestrate the transformation of raw legal and regulatory content into trusted metadata and structured information. You will guide ingestion, extraction, and canonical modeling while partnering with Product and Engineering to support high-quality search and AI experiences.

You will drive data quality governance, establish standards, and mentor teams to ensure scalable, reliable data foundations across business units.

Qualifications

• Experience leading content engineering or similar functions 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 rule-based, ML, 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.

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.

Skills

Team Leadership

Content Eng

Data Eng

Metadata Extraction

Entity Resolution

Data Modeling

SQL

Relational DB

Analytics

Tools

SQL

Job description

LexisNexis Legal & Professional seeks a senior leader to orchestrate the transformation of raw legal and regulatory content into trusted metadata and structured information. You will guide ingestion, extraction, and canonical modeling while partnering with Product and Engineering to support high-quality search and AI experiences.

You will drive data quality governance, establish standards, and mentor teams to ensure scalable, reliable data foundations across business units.