Full-Time
Vice President of Data Engineering
Strategic Legal Practices
Compensation Overview
$180k - $220k/yr
Los Angeles, CA, USA
In Person
This role is on site in Century City, Los Angeles.
Bachelor's
Category
 Data & Analytics (1) |
|---|
Required Skills
LLM
Data Science
Data Engineering
Data Governance
Data Analysis
Requirements
- A bachelor’s degree in Computer Science, Engineering, Data Science, or a related field is required.
- Extensive experience in data engineering, analytics platforms, and enterprise data systems is required.
- Proven leadership experience managing technical teams and complex initiatives is required.
- Strong understanding of data governance, security, and compliance is required.
- Ability to operate at an executive level while remaining hands-on when needed is required.
Responsibilities
- Develop and execute a firm-wide data strategy aligned with business goals, growth plans, and operational efficiency.
- Serve as the senior leader responsible for data architecture, analytics, and reporting across all departments.
- Establish data priorities supporting litigation outcomes, client performance, financial forecasting, and resource allocation.
- Advise executive leadership using data-driven insights to inform strategic decisions.
- Lead and scale the firm’s data infrastructure, analytics platforms, and software systems.
- Oversee development of data pipelines, reporting tools, and analytics solutions.
- Ensure systems are reliable, scalable, and aligned with long-term technology strategy.
- Drive delivery of high-quality solutions on time and within scope.
- Develop and maintain a technology roadmap with cross-functional leaders.
- Identify and implement modern data and cloud architectures, including analytics platforms, automation tools, and artificial-intelligence-driven solutions.
- Evaluate and deploy emerging technologies to improve performance, reduce costs, and enhance scalability.
- Lead initiatives related to AI agents, analytics automation, and workflow optimization.
- Recruit, mentor, and retain data engineers, analytics professionals, and software specialists.
- Design organizational structures supporting scalability, operational efficiency, and continuous improvement.
- Conduct performance evaluations and support professional development.
- Partner with business leaders across legal operations, finance, human resources, and technology to align data initiatives with firm priorities.
- Translate complex technical concepts into actionable insights for non-technical stakeholders.
- Support data-driven decision-making across departments.
- Monitor and optimize engineering key performance indicators, infrastructure performance, and data reliability.
- Improve platform efficiency, reduce redundancy, and manage operational costs.
- Ensure analytics and reporting solutions meet business needs and support strategic decision-making.
- Lead implementation of AI-driven intelligence and automation to improve productivity and reduce operational burden.
- Identify opportunities where data and automation can enhance firm workflows and outcomes.
- Measure and report the impact of AI and automation initiatives.
- Establish firm-wide standards for data accuracy, consistency, and ownership.
- Define data governance processes, including naming conventions, access controls, and validation rules.
- Ensure data is secure and appropriately accessible across teams.
- Partner with Legal, Information Technology, and Compliance teams on privacy and security requirements.
Desired Qualifications
- An advanced degree in a related field is preferred.
- Experience in professional services, legal, or regulated environments is preferred.
- Experience implementing AI, automation, or advanced analytics solutions is preferred.