Leadership role overseeing data engineering and analytical data analysis at LexisNexis. Collaborates with technology colleagues to ensure high-quality data delivery and support business goals.
Responsibilities
Provides leadership, management, direction, and vision to data engineering employees.
Collaborates extensively with technology colleagues and project leaders.
Ensures successful completion and delivery of assigned data components and associated deliverables.
Maintains high-quality data pipelines for legal research tools and AI-driven solutions.
Requirements
10+ years of experience in Data and Scoring Engineering, data management, and data strategy.
2+ years’ management experience.
Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
Advanced understanding of data engineering methodologies, processes, and process improvement.
Leads the development and execution of performance and automation scripts.
Knowledge in normalized/dimensional data modeling principles.
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).
Strong research and problem-solving skills (tools/root cause analysis).
Experience working with any large language model (LLM), preferably through API integration.
Experience in using Jupyter or Databricks.
Benefits
Comprehensive health coverage, including medical, dental, and vision plans.
Retirement plan with inclusive risk benefits (disability, critical illness, life cover, and funeral cover).
Modern family benefits, including adoption, surrogacy, and parental leave.
Paid study leave and professional development support.
Well-being initiatives and opportunities for sabbaticals and personal growth.
A culture that values work/life balance, clear communication, and continuous learning.
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