Manager Data Engineering

.Manager Data Engineering page is loaded## Manager Data Engineering locations:
North Carolina:
Raleigh, NCtime type:
Full time posted on:
Posted Todayjob requisition :
R105926## About Our Team Lexis Nexis  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 Lexis Nexis, 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, 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
* *
* 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 equivalent experience required. Advanced degree preferred.
* Methodologies:
Advanced understanding of data engineering methodologies, processes, and process improvement.
* Automation:
Leads the development and execution of performance and automation scripts for large-scale projects, with a proven ability to develop and execute complex automated and performance scripts.
* Data Modeling & Storage:
Knowledge in normalized/dimensional data modeling principles and their application to complex business needs. Expert knowledge of multiple data storage subsystems and large complex systems.
* Database Technology:
Strong proficiency in database technology, design and manipulation, optimization, and best practices. Strong proficiency with data manipulation language including optimization techniques. Strong proficiency in writing complex SQL queries (preferably MySQL) to retrieve data from multiple tables.
* Problem Solving:
Strong research and problem-solving skills (tools/root cause analysis). Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating resources to troubleshoot/diagnose complex project issues.
* Leadership:
Ability to lead small to medium-sized team(s) and balance deployment of resources within the group as necessary to support priorities. Proven expert in partnering and leading internal and external technology resources in solving complex business needs.
* Experience working with any large language model (LLM), preferably through API integration, to build, deploy, or enhance data-driven solutions. Demonstrated ability to leverage LLMs for developing automation scripts, optimizing workflows, or solving complex business needs.
* Demonstrated expertise in crafting clear, targeted prompts to elicit precise responses from AI models and optimize automation or data-driven workflows.
* Experience in using Jupyter or…