Lululemon

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. That includes creating an equitable, inclusive and growth-focused environment for our people.

about this team  

The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem, 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.

A day in the life:

Reporting to the SVP of AI Engineering AI Research, & Data, the Technology Operations Senior Manager drives operational rhythm to ensure seamless orchestration to drive leadership alignment, driving the rhythm of business across the organization,  with a focus on facilitating leadership meetings (VP+), facilitating business reviews for portfolios under the SVP’s scope, providing technology updates, and analytical support on team budgets/financials. As a key strategic partner to the SVP of AI/ML, the Senior Manager, Technology Operations will: 

• Drive Strategic Execution: Partner with the SVP and leadership team to translate vision into actionable plans, align priorities, and monitor progress.
• Act as Key Liaison: Serve as the SVP’s primary point for requests, triage priorities, and coordinate delivery across VP teams and stakeholders.
• Lead Operational Rhythm: Own quarterly business reviews, leadership meetings, and strategic offsites; design agendas and ensure follow-through ondecisions.
• Act as Key Liaison: Serve as the SVP’s primary point for requests, triage priorities, and coordinate delivery across VP teams and stakeholders.
• Enable Communication & Partnerships: Build strong cross-functional relationships and craft narratives that articulate vision and progress to senior leadership.
• Support Financial & Continuous Improvement: Collaborate with FP&A and Tech Ops on budgets, and partner with TPMO and global regions to drive process improvements.
• Practicecuriosity in a rapidly evolvingtechnologyspace toformoutside-in perspective and an internal understanding of business value of AI-ML.

core responsibilities

Technical Fluency & Domain Expertise

• Understand complextechnologyarchitecturesand AI development lifecycle
• Build credibility and link tech decisions to business outcomes
• Spot risks early

Operational Execution & Program Management

• Ensure smooth delivery of priorities
• Deliver on time with clear dashboards
• Resolve bottlenecks proactively
  

Strategic Planning & Alignment

• Understand business opportunities for AI-ML
• Convert visionof the teaminto actionable planswith respect to workforce strategy, operations, anddelivery.
• Co-author roadmaps tied to measurable outcomes
• Anticipate risks

Cross-Functional Leadership & Influence

• Drive collaboration across silos, build partnershipsand rhythm of executionwith business teams
• Lead multi-team initiatives
• Act as a trusted mediator to improve turnaround
  

Communication & Change Management

• Prevent confusion and ensure adoption

• Deliver high-quality presentations
• Support smooth change rollouts

Analytical Mindset & Business Acumen

• Align technology with business value
• Implement OKRs and make data-driven decisions
• Quantify ROI

qualifications

• Bachelor’s degree ina technicalfield AND 7+ years of work experience.
• Strong technical and analytical acumen with the ability to self-serve and become a go-to person for reporting and analytics. 
• Detail and results-oriented,self-directedand accountable with strong project management and execution skillsdemonstratingthe ability to drive results across a distributed set of stakeholders
• Strong interpersonal and communication skills, including an ability to communicate clearly and concisely supporting or working closely with executives  
• Experience leading and developing a dynamic team focused on support, operations, and planning within technology environments 

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 achievegreat results. 
• Communicate with honesty and kindness and createthe spacefor 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 andworking,akadoesn’ttake yourself too seriously.