VP of Data Engineering

Essential Duties & Responsibilities

• Engineering Leadership & Execution
• Technology Roadmap & Innovation
• Team Development & Organizational Design
• Cross-Functional Collaboration
• Operational Excellence & Metrics
• AI & Automation Enablement
• Data Governance & Quality

Data Strategy & Governance

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 that support 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 the development of data pipelines, reporting tools, and analytics solutions that drive efficiency and insight. 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 forward-looking technology roadmap in collaboration with cross-functional leaders. Identify and implement modern data and cloud architectures (e.g., analytics platforms, automation tools, AI-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.

Recruitment, Mentorship, and Retention

Recruit, mentor, and retain a team of data engineers, analytics professionals, and software specialists. Design organizational structures that support scalability, operational efficiency, and continuous improvement. Foster a culture of accountability, technical excellence, and collaboration.

Performance Evaluation and Professional Development

Conduct performance evaluations and support professional development. Partner with business leaders across legal operations, finance, HR, 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.

Monitoring and Optimization

Monitor and optimize engineering KPIs, 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 the 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.

Data Governance and Quality

Establish firm-wide standards for data accuracy, consistency, and ownership. Define data governance processes (naming conventions, access controls, validation rules). Ensure data is secure and appropriately accessible across teams. Partner with Legal, IT, and Compliance teams on privacy and security requirements (without owning legal compliance).

Compensation and Benefits

Compensation: $180,000 - $220,000 per year

Benefits: 401(k) with Employer Match, Health, Dental, and Vision Insurance, Short-Term, Long-Term Disability & Life Insurance, Paid Parking, Generous Paid Time Off, Employee Referral Program, Employee Assistance Program (EAP), Employee Discount Program.