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Senior Director Information Technology

lululemon
Vancouver, CAN
Full-time
Director
Hybrid
CAD 241,300–316,700 annually
Discovered 3 weeks ago
Engineering leadershipMerchandise planning and allocation systemsAI/ML systemsPythonJavaTensorFlow

Full Job Posting

Team and company

Global Product Technology provides platforms for product design and development, merchandising, sourcing, planning, master data, analytics and AI-assisted workflows.

The team partners with design, technical development, merchandising, sourcing and planning functions.

Role

Lead a multi-year strategy to transform merchandise planning, allocations and product delivery technology.

Lead a global multidisciplinary engineering organization across North America and India.

Responsibilities

  • Modernize merchandise planning and allocation solutions and integration stacks; scale assortment, space and size planning.
  • Embed responsible AI-driven automation to accelerate planning and improve decisions, including forecasting, allocation optimization and store clustering.
  • Guide secure, reliable, compliant and highly available platforms and AI/ML systems, including LLMs, vector retrieval, computer vision and intelligent agents.
  • Set strategy, lead change and continuous improvement, manage resources and financial interests, and develop high-performing teams and future leaders.
  • Communicate complex AI/ML architectures to executives and champion transparency, inclusion and ethics.

Qualifications

  • Bachelor’s degree in computer science or a related field; at least 5 years of engineering leadership and delivery experience.
  • Demonstrated experience managing large budgets, translating business strategy into engineering roadmaps, and working with data-heavy planning systems such as Anaplan or Oracle RPAS.
  • Expertise in Python or Java and relevant frameworks such as TensorFlow, PyTorch or scikit-learn; deep understanding of ML, NLP, computer vision and generative AI.
  • Hands-on cloud experience with AWS, GCP or Azure and MLOps tools; strong data engineering and big data knowledge.
  • Able to create actionable narratives and root-cause analyses; strong executive communication and storytelling.
  • At least 5 years in retail, merchandise planning and allocations, or a related field is a bonus. A master’s or PhD in computer science, applied mathematics or statistics is also a bonus.
  • Authorization to work in Canada is required.

Workplace arrangement

  • Hybrid arrangement; in-person collaboration is important, with a minimum of four days per week onsite.

Compensation and benefits

  • Typical hiring range is CAD 241,300–316,700 annually; pay varies with market location and job-related factors.
  • Eligible permanent employees may receive annual bonus and equity offerings, subject to eligibility.
  • Benefits include health and dental coverage, paid time off, retirement matching, employee discount, fitness and yoga classes, parenthood top-up and development opportunities.

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