Content Data Engineering Lead for AI & Search

LexisNexis Reed Tech; United States; Remote; USD 115,000 - 192,000; Full time

Job summary

LexisNexis Legal & Professional is seeking a senior leader to transform raw legal and regulatory content into trusted, structured information powering Intelligize. You will guide content ingestion, metadata extraction, and canonical modeling while ensuring data quality for customer-facing search and AI features.

You will mentor teams, establish standards, and collaborate with Product and Engineering to evolve the data foundation and governance for scalable analytics and AI experiences.

Qualifications

• 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.

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

Content ingestion

Metadata extraction

Entity resolution

Data modeling

Information quality

Relational databases

SQL

Stakeholder collaboration

Tools

SQL-based validation

Job description

LexisNexis Legal & Professional is seeking a senior leader to transform raw legal and regulatory content into trusted, structured information powering Intelligize. You will guide content ingestion, metadata extraction, and canonical modeling while ensuring data quality for customer-facing search and AI features.

You will mentor teams, establish standards, and collaborate with Product and Engineering to evolve the data foundation and governance for scalable analytics and AI experiences.