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Senior Technology Director - Merchandise Planning

lululemon
Vancouver, CAN
Full Time
Director
Hybrid
2 weeks ago
Engineering LeadershipMerchandise PlanningAI/MLCloud Platforms (AWS, GCP, Azure)PythonJava
Free

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Engineering LeadershipMerchandise PlanningAI/ML
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About This Team

  • Global Product Technology (GPT) delivers platforms and capabilities that power lululemon's product lifecycle.

Key Responsibilities

  • Collaborate with internal stakeholders, drive change initiatives, and foster a culture of continuous improvement
  • Manage resources, oversee financial interests, and implement essential policies
  • Evident leadership skills and proven track record of building strong teams
  • Drive world class engineering solutions that are reliable, observable, secure, compliant, and highly available
  • Blend deep technical expertise with visionary leadership to guide a globally dispersed engineering team
  • Drive design and implementation of scalable, secure, and responsible AI/ML enabled systems
  • Translate lululemon's merchandising and planning vision into a multi year solution realization strategy
  • Leverage AI and ML solutions to drive measurable impact across planning capabilities
  • Translate complex AI/ML architectures into clear narratives for executive stakeholders
  • Champion transparency, inclusion, and ethics as core enablers of innovation
  • Develop future ready leaders capable of balancing technical depth and business acumen

Qualifications

  • Bachelor's degree in computer science or related field
  • 5+ years of engineering leadership and delivery experience
  • 5+ years in retail, merchandise planning and allocations, or related field is a bonus
  • Demonstrated experience in managing large budgets
  • Demonstrated experience translating business strategy into technology and engineering roadmaps
  • Demonstrated experience in data heavy planning systems such as Anaplan, Oracle RPAS, etc.
  • Expert proficiency in programming languages (e.g., Python, Java) and relevant libraries/frameworks
  • Deep understanding of machine learning, NLP, computer vision, and generative AI techniques
  • Able to produce documentation such as narratives and root cause analysis
  • Hands on experience with cloud platforms (AWS, GCP, Azure) and MLOps tools
  • Strong knowledge of data engineering concepts and big data
  • Continuous learning mindset

Must Haves

  • Acknowledge the presence of choice in every moment and take personal responsibility
  • Possess an entrepreneurial spirit and continuously innovate
  • Communicate with honesty and kindness
  • Lead with courage
  • Foster connection by putting people first
  • Integrate fun and joy

Compensation and Benefits Package

  • Base pay range: $241,300 $316,700 annually
  • Annual bonus program and equity offerings
  • Extended health and dental benefits, 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

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