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Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!

Lululemon

Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Senior Technology Director - Merchandise Planning & Data Science Solutions at Lululemon

Role Overview

Join Lululemon's Global Product Technology (GPT) team as Senior Technology Director - Merchandise Planning & Data Science Solutions in Vancouver, British Columbia. Lululemon is the innovative performance apparel leader in yoga, running, training, and athletic pursuits. We're transforming how the world moves with technical fabrics and functional design.

This executive role drives a multi-year technology strategy to revolutionize merchandise planning, assortment planning, and AI-powered decision-making. Lead global teams to modernize platforms using LLMs, computer vision, vector retrieval, and intelligent agents. Accelerate speed-to-market while embedding AI for demand forecasting, allocation optimization, and store clustering.

Perfect for visionary leaders with deep retail tech expertise who thrive in ambiguity and deliver transformational results.

Key Responsibilities at Lululemon

  • Collaborate with merchandising, planning, and design stakeholders to drive change initiatives and foster continuous improvement.
  • Define and execute multi-year technology roadmaps for merchandise planning and data science solutions.
  • Lead global, multi-disciplinary engineering teams across North America and India.
  • Modernize planning suites with AI/ML automation including attributes generation and size planning.
  • Implement scalable, secure AI systems bridging merchandising and planning functions.
  • Translate complex AI architectures into executive narratives for stakeholders.
  • Champion ethical AI practices, transparency, and inclusion in all innovations.
  • Develop future leaders balancing technical depth and business acumen.
  • Oversee financial management, vendor ecosystems, and platform reliability.

Qualifications & Requirements

To succeed as Lululemon's Senior Technology Director, you need:

  • Bachelor's degree in Computer Science or related field (Master's preferred).
  • 5+ years engineering leadership delivering enterprise-scale solutions.
  • Retail/merchandise planning experience with systems like Anaplan, Oracle RPAS.
  • Expert coding skills: Python, Java, TensorFlow, PyTorch, scikit-learn.
  • Proven budget management for large technology programs.
  • Demonstrated ability to lead global teams through ambiguity and complexity.

Bonus: 5+ years in retail planning, AI/ML in merchandising, or consumer goods technology.

Salary & Benefits

Earn competitive total compensation $280,000 - $380,000 CAD annually (base + bonus + equity), based on Vancouver senior director market rates for AI/retail tech leaders. Package includes:

  • Performance bonuses up to 30% of base salary.
  • Comprehensive health benefits with extended coverage.
  • RRSP matching and financial wellness programs.
  • Generous PTO and wellness days.
  • Product discounts and apparel perks.
  • Professional development budget for conferences/certifications.
  • Hybrid work from Vancouver headquarters.

Why Join Lululemon?

Lululemon isn't just apparel - we're building a healthier, more connected world. Work on cutting-edge AI transforming retail at global scale. Our Vancouver HQ offers stunning views, collaborative spaces, and inclusive culture. Enjoy career growth, community impact, and perks that support your whole self. Join innovators driving positive change through technology and wellness.

How to Apply

Ready to lead Lululemon's merchandise planning revolution? Submit your resume and cover letter today. Highlight your AI leadership, retail tech wins, and vision for scalable planning solutions. We review applications on a rolling basis - apply now to shape the future of athletic apparel technology!

Locations

  • Vancouver, British Columbia, Canada

Salary

Estimated Salary Rangehigh confidence

280,000 - 380,000 CAD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI/ML Engineeringintermediate
  • Merchandise Planningintermediate
  • Data Scienceintermediate
  • Python Programmingintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Demand Forecastingintermediate
  • Assortment Planningintermediate
  • Retail Technologyintermediate
  • Global Team Leadershipintermediate
  • Anaplanintermediate
  • Oracle RPASintermediate
  • Computer Visionintermediate
  • LLM Implementationintermediate
  • Vector Retrievalintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science or related field (experience)
  • 5+ years of engineering leadership and delivery experience (experience)
  • 5+ years in retail, merchandise planning, allocations, or related field (preferred) (experience)
  • Demonstrated experience managing large budgets (experience)
  • Expert proficiency in Python, Java, TensorFlow, PyTorch, scikit-learn (experience)
  • Proven experience with data-heavy planning systems like Anaplan, Oracle RPAS (experience)

Responsibilities

  • Define and execute multi-year technology strategy for merchandise planning
  • Modernize merchandise planning and allocations solutions with AI automation
  • Lead global engineering teams across North America and India
  • Embed AI-driven capabilities including LLMs, computer vision, intelligent agents
  • Translate merchandising vision into scalable AI/ML roadmaps
  • Drive demand forecasting, allocation optimization, and store clustering
  • Champion ethical AI practices and transparency in solutions
  • Build high-performance teams and develop future-ready leaders
  • Manage vendor ecosystems and financial oversight for platforms

Benefits

  • general: Competitive base salary plus performance bonuses
  • general: Comprehensive health, dental, and vision coverage
  • general: Extended health and wellness benefits including mental health support
  • general: Generous paid time off and flexible vacation policy
  • general: Employee product discounts and apparel allowance
  • general: RRSP matching and financial planning support
  • general: Professional development budget and leadership training
  • general: Hybrid work options with state-of-the-art Vancouver headquarters
  • general: Global career mobility and internal promotion opportunities
  • general: Inclusive culture with DEI initiatives and employee resource groups

Target Your Resume for "Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!" , Lululemon

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Lululemon CareersAI Jobs VancouverRetail TechnologyMerchandise PlanningData Science LeadershipGlobal EngineeringPython ML JobsLululemon technology jobs VancouverSenior Director Merchandise Planning careersAI Data Science retail jobs CanadaLululemon AI ML engineering leadershipMerchandise planning technology directorRetail demand forecasting jobs LululemonGlobal engineering manager apparel industryAnaplan Oracle RPAS Lululemon careersPython TensorFlow jobs Vancouver BCAssortment planning AI director roleLululemon GPT team technology jobsSenior tech leadership retail planningVancouver tech director salary LululemonAI computer vision merchandise jobsStore clustering optimization careersEthical AI leadership Lululemon

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Lululemon logo

Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!

Lululemon

Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Senior Technology Director - Merchandise Planning & Data Science Solutions at Lululemon

Role Overview

Join Lululemon's Global Product Technology (GPT) team as Senior Technology Director - Merchandise Planning & Data Science Solutions in Vancouver, British Columbia. Lululemon is the innovative performance apparel leader in yoga, running, training, and athletic pursuits. We're transforming how the world moves with technical fabrics and functional design.

This executive role drives a multi-year technology strategy to revolutionize merchandise planning, assortment planning, and AI-powered decision-making. Lead global teams to modernize platforms using LLMs, computer vision, vector retrieval, and intelligent agents. Accelerate speed-to-market while embedding AI for demand forecasting, allocation optimization, and store clustering.

Perfect for visionary leaders with deep retail tech expertise who thrive in ambiguity and deliver transformational results.

Key Responsibilities at Lululemon

  • Collaborate with merchandising, planning, and design stakeholders to drive change initiatives and foster continuous improvement.
  • Define and execute multi-year technology roadmaps for merchandise planning and data science solutions.
  • Lead global, multi-disciplinary engineering teams across North America and India.
  • Modernize planning suites with AI/ML automation including attributes generation and size planning.
  • Implement scalable, secure AI systems bridging merchandising and planning functions.
  • Translate complex AI architectures into executive narratives for stakeholders.
  • Champion ethical AI practices, transparency, and inclusion in all innovations.
  • Develop future leaders balancing technical depth and business acumen.
  • Oversee financial management, vendor ecosystems, and platform reliability.

Qualifications & Requirements

To succeed as Lululemon's Senior Technology Director, you need:

  • Bachelor's degree in Computer Science or related field (Master's preferred).
  • 5+ years engineering leadership delivering enterprise-scale solutions.
  • Retail/merchandise planning experience with systems like Anaplan, Oracle RPAS.
  • Expert coding skills: Python, Java, TensorFlow, PyTorch, scikit-learn.
  • Proven budget management for large technology programs.
  • Demonstrated ability to lead global teams through ambiguity and complexity.

Bonus: 5+ years in retail planning, AI/ML in merchandising, or consumer goods technology.

Salary & Benefits

Earn competitive total compensation $280,000 - $380,000 CAD annually (base + bonus + equity), based on Vancouver senior director market rates for AI/retail tech leaders. Package includes:

  • Performance bonuses up to 30% of base salary.
  • Comprehensive health benefits with extended coverage.
  • RRSP matching and financial wellness programs.
  • Generous PTO and wellness days.
  • Product discounts and apparel perks.
  • Professional development budget for conferences/certifications.
  • Hybrid work from Vancouver headquarters.

Why Join Lululemon?

Lululemon isn't just apparel - we're building a healthier, more connected world. Work on cutting-edge AI transforming retail at global scale. Our Vancouver HQ offers stunning views, collaborative spaces, and inclusive culture. Enjoy career growth, community impact, and perks that support your whole self. Join innovators driving positive change through technology and wellness.

How to Apply

Ready to lead Lululemon's merchandise planning revolution? Submit your resume and cover letter today. Highlight your AI leadership, retail tech wins, and vision for scalable planning solutions. We review applications on a rolling basis - apply now to shape the future of athletic apparel technology!

Locations

  • Vancouver, British Columbia, Canada

Salary

Estimated Salary Rangehigh confidence

280,000 - 380,000 CAD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI/ML Engineeringintermediate
  • Merchandise Planningintermediate
  • Data Scienceintermediate
  • Python Programmingintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Demand Forecastingintermediate
  • Assortment Planningintermediate
  • Retail Technologyintermediate
  • Global Team Leadershipintermediate
  • Anaplanintermediate
  • Oracle RPASintermediate
  • Computer Visionintermediate
  • LLM Implementationintermediate
  • Vector Retrievalintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science or related field (experience)
  • 5+ years of engineering leadership and delivery experience (experience)
  • 5+ years in retail, merchandise planning, allocations, or related field (preferred) (experience)
  • Demonstrated experience managing large budgets (experience)
  • Expert proficiency in Python, Java, TensorFlow, PyTorch, scikit-learn (experience)
  • Proven experience with data-heavy planning systems like Anaplan, Oracle RPAS (experience)

Responsibilities

  • Define and execute multi-year technology strategy for merchandise planning
  • Modernize merchandise planning and allocations solutions with AI automation
  • Lead global engineering teams across North America and India
  • Embed AI-driven capabilities including LLMs, computer vision, intelligent agents
  • Translate merchandising vision into scalable AI/ML roadmaps
  • Drive demand forecasting, allocation optimization, and store clustering
  • Champion ethical AI practices and transparency in solutions
  • Build high-performance teams and develop future-ready leaders
  • Manage vendor ecosystems and financial oversight for platforms

Benefits

  • general: Competitive base salary plus performance bonuses
  • general: Comprehensive health, dental, and vision coverage
  • general: Extended health and wellness benefits including mental health support
  • general: Generous paid time off and flexible vacation policy
  • general: Employee product discounts and apparel allowance
  • general: RRSP matching and financial planning support
  • general: Professional development budget and leadership training
  • general: Hybrid work options with state-of-the-art Vancouver headquarters
  • general: Global career mobility and internal promotion opportunities
  • general: Inclusive culture with DEI initiatives and employee resource groups

Target Your Resume for "Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!" , Lululemon

Get personalized recommendations to optimize your resume specifically for Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now!" , Lululemon

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Lululemon CareersAI Jobs VancouverRetail TechnologyMerchandise PlanningData Science LeadershipGlobal EngineeringPython ML JobsLululemon technology jobs VancouverSenior Director Merchandise Planning careersAI Data Science retail jobs CanadaLululemon AI ML engineering leadershipMerchandise planning technology directorRetail demand forecasting jobs LululemonGlobal engineering manager apparel industryAnaplan Oracle RPAS Lululemon careersPython TensorFlow jobs Vancouver BCAssortment planning AI director roleLululemon GPT team technology jobsSenior tech leadership retail planningVancouver tech director salary LululemonAI computer vision merchandise jobsStore clustering optimization careersEthical AI leadership Lululemon

Answer 10 quick questions to check your fit for Senior Technology Director - Merchandise Planning & Data Science Solutions Careers at Lululemon - Vancouver, British Columbia | Apply Now! @ Lululemon.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.