Manager, Content Data Engineering

🕒 July 30

🏄 California, Illinois, +4 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote

💵 $115.4k - $230.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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LexisNexis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1970

⚖️ Legal

💼 Consulting

🏥 Healthcare

💰 Corporate Round on 2021-06

Legal • Consulting • Healthcare

LexisNexis is a provider of professional solutions tailored for law firms, corporations, government agencies, and academic institutions. It offers legal solutions, news, and business insights. LexisNexis also provides risk solutions for companies and government agencies, focusing on data analytics for compliance, customer acquisition, fraud detection, health outcomes, identity solutions, investigations, receivables management, risk decisioning, and workflow optimization. As part of the RELX Group, LexisNexis is committed to enhancing digital experience through data and analytics.

📋 Description

• 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options • Study assistance • Sabbaticals