Director, Enterprise Data Platform & AI

lululemon; Seattle (WA); On-site; USD 205,900 - 270,300; Full time

Benefits offered by this job

Health benefits

Bonus program

Employee discount

Job summary

lululemon is seeking a Director of Enterprise Data Platforms to lead the design, delivery, and operation of our enterprise data platform stack. This role drives data discovery, aggregation, and downstream consumption into analytics and AI workloads while ensuring reliability and security.

You will partner with architecture, data governance, insights, analytics, and AI teams to deliver standardized, reusable platform services and to advance self-service capabilities across the organization.

Qualifications

• 8–10+ years engineering data platforms in large-scale environments.
• 5+ years leading engineering teams with data focus.
• Strong expertise in data engineering, cloud platforms, and distributed processing.
• Experience building enterprise-grade data infra including data lakes, warehouses, and streaming.
• Manage operational execution while supporting strategic objectives.

Responsibilities

• Deliver and operate enterprise data platform capabilities.
• Own the execution and operation of core platforms (data lakes, warehouses, ingestion, transformation).
• Ensure platform reliability, scalability, performance, and security to meet SLAs.
• Drive self-service data capabilities for internal data consumers.
• Lead development of robust data integration capabilities (batch/real-time).
• Provide standardized, reusable data ingestion, processing, and access frameworks.

Skills

Data platform engineering

Team leadership

Cloud data platforms

distributed processing

Data governance

Education

Bachelor's degree in Statistics/Math/CS

Master's degree beneficial

Tools

Data lakes/warehouses

ETL/ELT

Streaming platforms

Job description

lululemon is seeking a Director of Enterprise Data Platforms to lead the design, delivery, and operation of our enterprise data platform stack. This role drives data discovery, aggregation, and downstream consumption into analytics and AI workloads while ensuring reliability and security.

You will partner with architecture, data governance, insights, analytics, and AI teams to deliver standardized, reusable platform services and to advance self-service capabilities across the organization.