Lead Legal Data Engineer—AI-Driven Analytics Leader

Greenberg Traurig, LLP; Dallas (TX); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Greenberg Traurig, LLP is seeking a Legal Data Analyst Lead to design, develop, and maintain data-driven, AI-enabled solutions supporting legal matters and client engagements. You will oversee complex data pipelines and collaborate with attorneys and technical teams to deliver scalable analytics.

The role requires 5+ years in data engineering/analytics, strong Python/SQL skills, and experience with AI workflows. This position is based in one of our U.S.

Formación

• Bachelor's degree in Data Analytics, Data Science, CS, or related field.
• Minimum 5 years in data engineering, analytics, or related discipline.
• Experience incorporating AI/ML into data workflows.
• Proven ability to translate legal/business requirements into data solutions.
• Mentoring or guiding junior engineers preferred.

Responsabilidades

• Designs and maintains data workflows, pipelines, and AI-enabled processing.
• Develops Python-based data processing, extraction, and reporting solutions.
• Creates AI-enabled workflows for extracting/structuring info from diverse data sources.
• Validates AI outputs with robust quality-control procedures.
• Collaborates with attorneys and tech teams to translate requirements into solutions.
• Guides and mentors team members on data tooling and analytics processes.

Conocimientos

Python

SQL

Data pipelines

AI workflows

Prompt engineering

JSON

REST APIs

LLMs

Documentation

Team leadership

Educación

Bachelor's degree in a quantitative field

Herramientas

Azure

Power BI

SQL Server

Git

Descripción del empleo

Greenberg Traurig, LLP is seeking a Legal Data Analyst Lead to design, develop, and maintain data-driven, AI-enabled solutions supporting legal matters and client engagements. You will oversee complex data pipelines and collaborate with attorneys and technical teams to deliver scalable analytics.

The role requires 5+ years in data engineering/analytics, strong Python/SQL skills, and experience with AI workflows. This position is based in one of our U.S.