Chief Data & Analytics Architect | Enterprise AI Leader

Ashurst Perkins Coie; Austin (TX); On-site; USD 190,000 - 350,000; Full time

Benefits offered by this job

Annual discretionary bonus

401(k) plan

Health, dental, and vision insurance

Paid time off starting at 20 days

Parental leave

Holidays

Family care benefits

Job summary

Ashurst Perkins Coie US LLP is seeking a Senior Director of Data & Analytics to drive the firm’s global data strategy and oversee data architecture, governance, analytics, and AI initiatives. You will lead a multi-disciplinary, worldwide team across regions and time zones, aligning data capabilities with business value and client service goals.

Responsibilities include setting roadmaps for Databricks and Azure lakehouse environments, establishing enterprise standards, and directing ML

Qualifications

• Deep experience with enterprise data architectures and lakehouse platforms.
• Experience delivering data, analytics, and AI initiatives to production with measurable business impact.
• Strong leadership across global teams and complex budgets.

Responsibilities

• Lead enterprise data and analytics strategy, roadmap, and investment priorities.
• Own the architecture, security, reliability, and cost efficiency of data platforms.
• Direct ML engineering and MLOps, ensuring smooth movement from development to production.
• Enable analytics and AI self-service with governed data services.
• Manage budgets, resources, and executive reporting across the data organization.

Skills

Databricks

Microsoft Azure

SQL

Python

PySpark

MLOps

AI governance

Data quality

Executive communication

Education

Bachelor's degree in computer science, engineering, statistics, or related quantitative discipline

Advanced degree preferred

Tools

Power BI

Unity Catalog

Microsoft Fabric

Denodo

Databricks

Job description

Ashurst Perkins Coie US LLP is seeking a Senior Director of Data & Analytics to drive the firm’s global data strategy and oversee data architecture, governance, analytics, and AI initiatives. You will lead a multi-disciplinary, worldwide team across regions and time zones, aligning data capabilities with business value and client service goals.

Responsibilities include setting roadmaps for Databricks and Azure lakehouse environments, establishing enterprise standards, and directing ML