lululemon Technology Director, Enterprise Data Platform

Job Details

Description & Requirements

who we are

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.



about this team

The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.

Core responsibilities
As a Director, Enterprise Data Platforms, you are accountable for the design, delivery, and continuous operation of the enterprise data platform that supports data and analytics across the organization. You will create the enterprise data architecture blueprint and lead the build of the enterprise data platform to enable data discovery and aggregation, and downstream consumption into systems, reports, analytics, and AI workloads. You will drive operational excellence focusing on availability, observability, security and access controls, reliability, and performance.

You will enable business outcomes by delivering standardized, reusable platform services that support data product and analytics teams, while driving improvements in platform efficiency, scalability, and self-service capabilities. You work in close partnership with the architecture, data governance, insights, analytics, and AI teams, and with business stakeholders to ensure alignment of the platform build with enterprise standards and evolving business needs.

Select responsibilities include:

• Deliver and operate enterprise data platform capabilities
• Own the execution, delivery, and operation of core enterprise data platforms, including data lakes, warehouses, ingestion, and transformation
• Ensure platform reliability, scalability, performance, and security to meet enterprise standards and SLAs
• Drive adoption of self-service data capabilities that enable internal data consumers
• Enable data integration and accessibility
• Lead development of robust data integration capabilities including batch and real-time pipelines (ETL/ELT, streaming, APIs, CDC)
• Provide standardized, reusable frameworks to simplify data ingestion, processing, and access across the organization
• Enable timely and high-quality data delivery for business-critical use cases; enable teams to discover, aggregate and consume data for analytics and AI use-cases

• Drive data governance, quality, and compliance
• Partner with data governance and security teams to ensure adherence to enterprise data policies, standards, and regulatory requirements for data access
• Embed data quality, lineage, and observability practices within platform capabilities
• Promote trusted, well-governed data assets across the organization
• Optimize platform engineering practices
• Lead adoption of modern data engineering tools, technologies, and best practices (e.g., cloud-native architectures, distributed processing frameworks)
• Improve operational efficiency through automation, monitoring, and optimization of platform services and data ops.
• Continuously enhance developer experience and platform usability for your engineering teams, including the use of AI across the software development lifecycle.
• Manage operational execution and delivery
• Translate sub-functional strategy into actionable roadmaps and execution plans
• Deliver against defined objectives for quality, timeliness, and platform performance
• Manage budgets, resources, and priorities to ensure efficient and effective delivery
• Partner cross-functionally to support business outcomes
• Collaborate with data product, analytics, AI, and business stakeholders to align platform capabilities with evolving needs
• Support delivery teams with scalable and secure data access patterns and tooling
• Ensure platform readiness to support new use cases and growing data volumes
• Lead and develop team members
• Build and lead a high-performing data platform engineering organization
• Foster a culture of accountability, collaboration, continuous improvement, and technical excellence
• Ensure strong hiring, onboarding, development, and succession planning practices aligned with the company's diversity and inclusion commitments

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related quantitative field, or equivalent experience; Master's degree beneficial
• 8-10+ years of experience engineering data platforms and services in large-scale or complex environments
• 5+ years of experience leading engineering teams with data engineering and data platform focus
• Strong expertise in data engineering, cloud data platforms, enterprise data architecture, and distributed data processing technologies
• Experience building and operating enterprise-grade data infrastructure, including data lakes, warehouses, and streaming platforms
• Demonstrated ability to manage operational execution while supporting broader strategic objectives
• Strong collaboration and stakeholder management skills across technical and business teams
• Experience working within established data strategies and governance frameworks

must haves

• Acknowledge the presence of choice in every moment and take personal responsibility for your life.
• Possess an entrepreneurial spirit and continuously innovate to achieve great results.
• Communicate with honesty and kindness and create the space for others to do the same.
• Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Foster connection by putting people first and building trusting relationships.
• Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously.

additional notes

Authorization to work in Canada is required for this role.

compensation and benefits package

lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $196,600 - $258,100 annually ; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program and equity offerings, subject to program eligibility requirements.

At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:

• Extended health and dental benefits, and mental health plans
• Paid time off
• Savings and retirement plan matching
• Generous employee discount
• Fitness & yoga classes
• Parenthood top-up
• Extensive catalog of development course offerings
• People networks, mentorship programs, and leadership series (to name a few)

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

#LI-CM1