Manager Content Data Engineering
AI summary of the role
This role leads data engineering for Intelligize, a LexisNexis unit focused on SEC filings and corporate disclosure data.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead and manage data engineering teams including offshore contractors, consultants, interns, and quality control.
- Write advanced complex code and serve as senior technical authority for data systems.
- Collaborate with Product Management, Engineering, and Operations to plan and deliver products and enhancements.
- Serve as primary technical point of contact for external technology resources and present to senior management.
What you’ll bring
- 10+ years in Data and Scoring Engineering, data management, and data strategy.
- 2+ years management experience.
- Strong proficiency in SQL (preferably MySQL) and database optimization.
- Experience with large language models (LLMs) via API integration for automation or data solutions.
Technologies
LLM · API integration · Jupyter · Databricks · MySQL · SQL · data modeling · automation scripts · performance scripts · SEC filings
About RELX
Provides analytics, decision tools, and workflow products for legal, risk, scientific, health, and events customers, built on proprietary data and trusted content.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
experts in law, data, and technology to build products that transform how legal professionals access and understand information. About the Role This position provides leadership, management, direction, and vision to data engineering and/or employees—including offshore contractors, consultants, interns, and the quality control team—needed to oversee statistical and analytical data analysis with a focus on data quality and integrity. As a key technical leader supporting Intelligize's business goals, this role collaborates extensively with technology colleagues, product and project leaders, or managers, and is responsible for ensuring the successful completion and delivery of assigned data components and all other associated deliverables. You will play a vital role in maintaining the high-quality data pipelines that power our legal research tools and AI-driven solutions. Requirements
More from the job description
AGENTIC AI Experience Required About Our Team LexisNexis Legal & Professional serves customers in more than 150 countries with over 11,000 employees worldwide and is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Within LexisNexis, Intelligize focuses on empowering legal, compliance, and corporate professionals through advanced access to SEC filings and corporate disclosure data. We’re a trusted partner for top law firms, corporations, and regulators seeking clarity and insight from complex financial and legal information. Our company has been a long-time leader in applying AI and advanced technologies to the legal market—improving productivity, accuracy, and decision-making across the profession. At Intelligize, you’ll join a team that values curiosity, creativity, and collaboration. We bring together experts in law, data, and technology to build products that transform how legal professionals access and understand information. About the Role This position provides leadership, management, direction, and vision to data engineering and/or employees—including offshore contractors, consultants, interns, and the quality control team—needed to oversee statistical and analytical data analysis with a focus on data quality and integrity. As a key technical leader supporting Intelligize's business goals, [... source excerpt omitted ...] product and project leaders, or managers, and is responsible for ensuring the successful completion and delivery of assigned data components and all other associated deliverables. You will play a vital role in maintaining the high-quality data pipelines that power our legal research tools and AI-driven solutions. Requirements Experience: 10+ years of experience in Data and Scoring Engineering, data management, and data strategy, with a strong technical background and demonstrated expertise in quality control processes and practices. Management: 2+ years’ management experience. Education: Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalen [... source excerpt omitted ...] precise responses from AI models and optimize automation or data-driven workflows. Experience in using Jupyter or Databricks Experience related to Security Exchange Commission Responsibilities Team Leadership: Successfully partner and lead teams of resources (including offshore) in solving complex business needs. Carry out management responsibilities including interviewing, hiring, training, appraising performance, and rewarding/disciplining employees. Technical Execution: Write advanced complex code for computer systems and serve as a senior source of expertise. Lead the development of technical standards and perform reviews to ensure enterprise and architectural standards and
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