Global Head of Data, Analytics & AI Strategy

Perkins Coie LLP; Austin (TX); On-site; USD 200,000 - 360,000; Full time

Benefits offered by this job

Annual discretionary bonus

401(k) plan

Medical insurance

Dental insurance

Vision insurance

Paid time off

Parental leave

Job summary

Ashurst Perkins Coie US LLP seeks a Senior Director of Data & Analytics to lead the firm's global data and analytics organization, owning the enterprise data strategy and investment roadmap.

You will oversee architecture, engineering, governance, analytics, data science, and ML engineering, ensuring secure, scalable, and cost-efficient data platforms and delivering trusted data products and AI capabilities.

Qualifications

• 10+ years of progressive experience in data engineering, analytics, data science, or related technology disciplines; enterprise cloud experience.
• 5+ years of senior leadership experience managing multidisciplinary data, analytics, engineering, or technology teams; 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.
• Demonstrated experience taking analytics, data science, or AI initiatives from prototype through production and measurable business impact.
• Strong understanding of data quality, governance, security, metadata, lineage, compliance, and data residency requirements.
• Experience managing technology budgets, vendors, platform costs, and cross-functional initiatives.
• Experience leading distributed or global teams across multiple regions and time zones.
• Excellent executive communication, strategic thinking, problem-solving, and leadership skills.
• Bachelor's degree in computer science, engineering, statistics, or a related quantitative discipline; equivalent experience may be considered. Advanced degree preferred.

Responsibilities

• Develop and own the enterprise data strategy and roadmaps in partnership with firm leadership.
• Oversee data architecture, engineering, governance, analytics, data science, ML engineering, and enterprise data platforms.
• Own the architecture, security, reliability, scalability, performance, and cost efficiency of Databricks and Azure lakehouse environments.
• 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 move from development to production.
• Enable analytics, AI, and self-service capabilities through trusted data products and governed data services.
• Lead build, buy, and partner decisions, including vendor management and platform optimization.
• Partner with business and technology leaders to translate data 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 regions and time zones.

Job description

Ashurst Perkins Coie US LLP seeks a Senior Director of Data & Analytics to lead the firm's global data and analytics organization, owning the enterprise data strategy and investment roadmap.

You will oversee architecture, engineering, governance, analytics, data science, and ML engineering, ensuring secure, scalable, and cost-efficient data platforms and delivering trusted data products and AI capabilities.