Global Data & Analytics Leader | AI & Data Strategy

Ashurst Perkins Coie; Portland (OR); On-site; USD 210,000 - 379,000; Full time

Benefits offered by this job

Annual discretionary bonus

401(k) plan

Medical insurance

Dental insurance

Vision insurance

PTO 20 days

Parental leave

Paid holidays

Family care benefits

Job summary

Ashurst Perkins Coie is seeking a Senior Director of Data & Analytics to lead the firm’s global data and analytics organization, defining the enterprise data strategy and shaping the multi-year vision for data platforms. You will oversee data architecture, governance, and analytics including ML engineering, ensuring trusted data products and AI capabilities.

The role partners with executives to translate data priorities into business value, manages budgets and resources across regions, and

Qualifications

• 10+ years of progressive experience in data engineering, analytics, data science, or related technology disciplines, including enterprise cloud and data solutions.
• 5+ years of senior leadership experience managing multidisciplinary data, analytics, engineering, or technology teams, including people managers.
• Strong expertise in enterprise data architecture, lakehouse platforms, data integration, dimensional and semantic modeling, ETL/ELT, and data warehousing.
• Deep experience with Databricks, Microsoft Azure, SQL, Python, and PySpark.
• Working knowledge of machine learning, MLOps, generative AI, feature stores, model deployment, monitoring, and AI governance.

Responsibilities

• Lead the firm’s enterprise data and analytics strategy, roadmap, operating model, and investment priorities in partnership with the Chief Digital & Data Officer and firm leadership.
• Oversee data architecture, engineering, governance, analytics, data science, machine learning engineering, and enterprise data platforms.
• Own the architecture, security, reliability, scalability, performance, and cost efficiency of the firm’s Databricks and Microsoft Azure lakehouse environment.
• Establish enterprise standards for data integration, modeling, quality, governance, metadata, lineage, access, security, and compliance.
• Direct machine learning engineering and MLOps practices, ensuring models and data products can move reliably from development to production.
• Enable analytics, AI, and self-service capabilities through trusted data products, semantic models, and governed data services.
• Lead build, buy, and partner decisions, including vendor management, technology investments, platform optimization, and technical debt reduction.
• Partner with business and technology leaders to identify opportunities for data, analytics, and AI and translate technical priorities into measurable business value.
• Manage budgets, resources, platform consumption, risks, and executive reporting across the data organization.
• Lead and develop a high-performing global organization across multiple regions and time zones, fostering technical excellence, innovation, collaboration, and continuous improvement.

Skills

Data architecture

Databricks

Azure

SQL

Python

MLOps

Leadership

Budget management

Executive communication

Data governance

Education

Bachelor’s degree in computer science, engineering, statistics, or related field

Advanced degree preferred

Tools

Databricks

Microsoft Azure

SQL

Python

PySpark

Power BI

Unity Catalog

Denodo

Job description

Ashurst Perkins Coie is seeking a Senior Director of Data & Analytics to lead the firm’s global data and analytics organization, defining the enterprise data strategy and shaping the multi-year vision for data platforms. You will oversee data architecture, governance, and analytics including ML engineering, ensuring trusted data products and AI capabilities.

The role partners with executives to translate data priorities into business value, manages budgets and resources across regions, and