VP of Data Engineering
Company: Strategic Legal Practices
Location: Los Angeles
Posted on: February 19, 2026
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Job Description:
Job Description Job Description About Strategic Legal Practices
Based in Los Angeles, Strategic Legal Practices is one of the
largest litigation firms within California, representing clients in
a range of consumer protection and civil litigation matters. Our
Firm measures our success by how well our clients do. We are armed
with a group of experienced attorneys, led by one of the most
successful Lemon Law and Consumer Fraud litigators in California.
The best predictor of performance is our record of achievement. We
are proud to have successfully helped thousands of clients in their
pursuit against car manufacturers. Our success rate is unmatched by
any other Firm. Position Summary The Vice President of Data is
responsible for building and leading the firm’s data strategy,
analytics, and reporting infrastructure to support legal
operations, firm leadership, and business growth. This role owns
enterprise data systems, reporting, and insights — translating
complex data into actionable intelligence for attorneys,
leadership, and operational teams. Essential Duties &
Responsibilities 1. 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. 2. Engineering Leadership &
Execution 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. 3. Technology
Roadmap & Innovation 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. 4. Team
Development & Organizational Design 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. Conduct performance evaluations and support
professional development. 5. Cross-Functional Collaboration 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. 6. Operational Excellence & Metrics 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. 7. AI &
Automation Enablement 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. 8. Data
Governance & 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).
Requirements Qualifications Required Bachelor’s degree in Computer
Science, Engineering, Data Science, or a related field. Extensive
experience in data engineering, analytics platforms, and enterprise
data systems. Proven leadership experience managing technical teams
and complex initiatives. Strong understanding of data governance,
security, and compliance. Ability to operate at an executive level
while remaining hands-on when needed. Preferred Advanced degree in
a related field. Experience in professional services, legal, or
regulated environments. Experience implementing AI, automation, or
advanced analytics solutions. Compensation: $180,000 - $220,000 per
year This role is on site in Century City/Los Angeles Benefits
We’re committed to supporting the well-being and success of our
team through a robust and thoughtfully designed benefits package,
including: 401(k) with Employer Match – Plan for your future with
confidence and company support. Health, Dental, and Vision
Insurance – Comprehensive coverage to keep you and your family
healthy. Short-Term, Long-Term Disability & Life Insurance –
Financial protection for life’s unexpected events. Paid Parking –
Convenient and covered, so you can focus on your day. Generous Paid
Time Off – Ample time to rest, recharge, and take care of personal
matters. Employee Referral Program – Earn rewards for introducing
talented individuals to our team. Employee Assistance Program (EAP)
– Confidential resources for personal and professional support.
Employee Discount Program – Access to exclusive savings on a
variety of products and services.
Keywords: Strategic Legal Practices, Norwalk , VP of Data Engineering, IT / Software / Systems , Los Angeles, California