Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision.

Based in Los Angeles, New York or Washington, D.C., the Director of Data Services will be responsible for managing the way Gibson Dunn captures, governs, integrates, and activates its data across every financial system, matter, client relationship, and AI model that the firm deploys. This role will establish the data foundation upon which the firm's AI program, business intelligence capability, and operational decision-making rest. This executive-level role will build the firm's first enterprise-grade data architecture, create a lasting data governance culture, and deliver analytics products that give firm leadership and practice group heads a level of strategic intelligence the firm has never had before.

This role reports to the Chief Legal Operations Officer.

Responsibilities include

Enterprise Data Strategy

Owning and continuously evolving the firm's enterprise data strategy and multi-year roadmap approved by firm leadership, integrating with the AI strategy, and aligning to the firm's financial, operational, and competitive priorities.
Advising the CLOO on data's strategic implications including: the value of data assets the firm already holds, the investments required to realize that value, and the risks of continued data fragmentation.
Establishing Gibson Dunn's data vision by articulating what the firm's data estate will look like at full maturity, what decisions it will enable, and how it will position the firm competitively.
Building and chairing the firm's Data Governance Council.
Leading annual data strategy reviews with firm leadership presenting progress, ROI, and updated priorities against the multi-year roadmap.

Data Architecture & Engineering

Designing and overseeing the build of the firm's enterprise data architecture, creating a unified, governed data layer integrating Aderant (financial/billing), iManage (document management), Intapp (conflicts, NBI, risk), CRM, HR systems, and operational platforms.
Leading the selection and implementation of modern data infrastructure tools and platforms including cloud data warehouse (Snowflake, Databricks, Azure Synapse, or equivalent), ETL/ELT orchestration, data catalog, and lineage tooling.
Establishing and enforcing enterprise data standards, taxonomies, and metadata policies, resolving the multi-definition problem affecting key firm metrics such as realization rate, utilization, and client revenue.
Owning the firm's master data management (MDM) program, establishing authoritative systems of record for clients, matters, attorneys, rates, and timekeeper hierarchy.
Overseeing the data engineering team and setting technical standards for pipeline development, data quality testing, schema design, and system integration architecture.

Analytics & Business Intelligence

Owning a Practice Intelligence platform providing firm leadership, practice group co-chairs, and administrative leaders with self-serve access to matter pipelines, utilization, realization, client revenue, lateral productivity, and workforce analytics.
Partnering with Finance to deliver analytics beyond standard reports, providing partner-level, matter-level, and client-level economic insight that informs compensation, pricing, and staffing decisions.
Partnering with Business Development to build client intelligence products including relationship analytics, cross-sell opportunity modeling, client revenue trend analysis, and competitive positioning data.
Partnering with Human Resources to provide workforce analytics including staffing models, associate advancement tracking, DEI reporting, and lateral hiring ROI analysis.
Establishing a BI Center of Excellence, selecting, governing, and supporting firm BI and visualization tooling (Power BI, Tableau, or equivalent); building a community of data users; and expanding self-serve analytics capability across the firm.