Jobs in Canada

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Added 1 hour ago
C
Hôte ou hôtesse , aires de jeux - The Rec Room Royalmount, Bouffes, jeux & spectacles
Cineplex
Mont-Royal, QC · The Rec Room Royalmount
- Part-time
…The Amusement Host operates all major attractions and is an expert on gaming within the facility and can help answer and/or curate the gaming experience for both experienced and…
Added 1 hour ago
L
Senior Manager - Apparel Innovation Development
lululemon
Vancouver, BC
- Full-time
…research, athlete and guest insights, cutting-edge materials, and expert construction and fit to develop performance apparel that meets the exact specifications of lululemon guests and…
Added 1 hour ago
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Principal Engineer, Global Networks & Infrastructure
lululemon
Vancouver, BC
- Full-time
Demonstrate expert-level functional coding proficiency, writing high-quality production code to solve the complex technical challenges when hands-on expertise is required
Added 1 hour ago
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Senior Technology Director - Merchandise Planning
lululemon
Vancouver, BC
- Full-time
5+ years in retail, merchandise planning and allocations, or related field is a bonus.
Added 2 hours ago
S
Beauty Advisor - Full Time
sephora.com
Calgary, AB
- $17 to $20 CAD / hour
- Full-time
…for all things beauty. Through personalized consultations and expert product recommendations, you'll play a meaningful role in clients' confidence journeys. You're a beauty pioneer who…
Added 3 hours ago
ON
Seasonal Retail Sales Associate - Vaughan Mills
Old Navy
Concord, ON
- Part-time
…excellent customer service resulting in brand loyalty. You’re an expert in product and use your knowledge and experience to educate, inform, inspire and wardrobe the customer. Through…
Added 3 hours ago
A
Conceptual Design Lead
Akcelo
Vancouver, BC
- Temporary
Expert proficiency in Adobe Creative Suite and Figma; motion or 3D design skills are a bonus
Added 4 hours ago
S-
Seasonal Part Time Sales Associate
Showcase - Home of the Hottest Trends
Belleville, ON
- Part-time
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 4 hours ago
S-
Part Time Sales Associate (OPEN AVAILABILITY)
Showcase - Home of the Hottest Trends
Pickering, ON
- Part-time
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 4 hours ago
S
Beauty Advisor - Part Time
Sephora
BC · Delta, BC
- $19.85 to $24.8 CAD / hour
- Part-time
…for all things beauty. Through personalized consultations and expert product recommendations, you'll play a meaningful role in clients' confidence journeys. You're a beauty pioneer who…
Added 5 hours ago
A
Personal Banking Advisor - Lethbridge Paramount
ATB
Lethbridge, AB
- Full-time
Drive Sales with Expertise: Guide retail personal and business clients toward the right savings, investment, and lending products for their short- and long-term goals. This includes…
Added 5 hours ago
S
Operations Lead - Full Time
sephora.com
Oakville, ON
- $22.2 to $26.1 CAD / hour
- Full-time
Develop budget strategies. Be seen as the expert by demonstrating a strong understanding of the stores sales performance and staffing and payroll as well as all other controllable expenses…
Added 5 hours ago
S
Operations Lead - Full Time
sephora.com
Winnipeg, MB
- $20.8 to $24.45 CAD / hour
- Full-time
Develop budget strategies. Be seen as the expert by demonstrating a strong understanding of the stores sales performance and staffing and payroll as well as all other controllable expenses…
Added 5 hours ago
Customer Experience Associate - The Pas, Manitoba (22.5 hours per week)
Scotiabank
The Pas, MB
Being a technology expert and sharing your knowledge by introducing clients to our mobile banking applications and assisting them to better manage their banking needs
Added 6 hours ago
HC
Client Service Administrator - Dryden, ON
HearingLife Canada
Dryden, ON
- Full-time
Are you a customer service expert that enjoys making connections, solving problems, and helping more people hear better? Are you searching to be part of a team that has a “people-first”…
Added 7 hours ago
PT Retail Operations Associate, Sandro, Pacific Centre
SMCP NORTH AMERICA (US, CANADA)
Vancouver, BC
…Assistance Program (EAP), which includes personalized guidance, expert care, and mental health support through every stage of life, along with MAVEN Family Planning, providing additional…
Added 7 hours ago
D
Department Manager (Outdoor)
Decathlon
Calgary, AB
- $52,250 to $72,000 CAD / year
- Full-time
Marked interest in and enthusiasm for retail, customer service, and sports.
Added 7 hours ago
SD
Merchandiser, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Burnaby, BC
- Part-time
Expert in assigned areas of product inventory, product placement and expiry dates
Added 7 hours ago
HR
Beauty Advisor - Jo Malone London
Holt Renfrew
Toronto, ON
- Full-time
Share expert level of product knowledge with entire store selling team
Added 7 hours ago
AF
Personal Banking Advisor - Lethbridge Paramount
ATB Financial
Lethbridge, AB
- Full-time
Drive Sales with Expertise: Guide retail personal and business clients toward the right savings, investment, and lending products for their short- and long-term goals. This includes…
Added 7 hours ago
LC
Merchandiser, Hourly Part Time Day
Loblaw Companies Limited
Toronto, ON
- Part-time
Expert in assigned areas of product inventory, product placement and expiry dates
Added 7 hours ago
O
Sales Associate
Oakley
Vaughan, ON
- Full-time
Become a Vision Expert: Offer tailored advice and recommend eyewear solutions that fit each customer’s lifestyle and preferences.
Added 7 hours ago
O
Sales Associate
Oakley
Vaughan, ON
- Full-time
Become a Vision Expert: Offer tailored advice and recommend eyewear solutions that fit each customer’s lifestyle and preferences.
Added 7 hours ago
MR
Part-Time Sales Associate
Match Retail
Calgary, AB
- Part-time
Match Retail is seeking enthusiastic and dynamic Sales Associates to represent a prestigious luxury brand, Nespresso. If you're passionate about high-end products and thrive in…
Added 7 hours ago
MR
Part-Time Sales Associate
Match Retail
Mississauga, ON
- Part-time
Match Retail is seeking enthusiastic and dynamic Sales Associates to represent a prestigious luxury brand, Nespresso. If you're passionate about high-end products and thrive in…

lululemon

Senior Technology Director - Merchandise Planning

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 13, 2026
Experience: 5+ years of engineering leadership and delivery experience.
Posting language: English
Posted: Nov 13, 2026

Original job description

Requirements

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

Global Product Technology (GPT) delivers the platforms and capabilities that power lululemon’s product lifecycle – from 2D/3D design and development to merchandising, sourcing, assortment planning, master data management, and go to market. We partner closely with design, technical development, merchandising, sourcing, and planning functions to accelerate speed to market and elevate quality through PLM modernization, digital product creation, data and integration platforms, assortment planning, size planning, master data management, analytics, decision-making solutions, and AI assisted workflows.

The role

We’re seeking a Senior Director Technology to define and execute a multi year technology strategy that transforms how lululemon merchandises, plans, and deliver products to our guests. This leader will modernize the merchandise planning and allocations suite of solutions and related integration stacks, scale our capabilities to enable assortment planning, space planning, size planning, and embed AI-driven automation to compress planning cycles and unlock better business decision-making through both historical and forward looking insights. You will lead a global, multi disciplinary engineering organization across North America and India, stewarding platforms, products, and vendor ecosystems that serve our merchants and planners end to end.

The ideal candidate will have a history of demonstrated results leading large, cross-functional, and global teams to accomplish transformational initiatives across functional/matrixed organizations. They must thrive in fast-paced environments, be able to manage through ambiguity and complexity, commission charters and empower teams to create and simplify processes, and simultaneously support a growing global organization. This role requires excellent communication, organizational skills, and the ability to drive ideas from concept to execution. Maturity, curiosity, creative problem solving, and team leadership are all essential for success in this role.

Key Responsibilities

Collaborate with internal stakeholders, drive change initiatives, and foster a culture of continuous improvement to keep pace with the organization’s growth strategy.
Manage resources, oversee financial interests, and implement essential policies, practices, and processes.
Evident leadership skills, a proven track record of building strong teams, setting high performance standards, challenging people to excel and eliciting their sustained high performance.
Excellent verbal and written communication skills is essential.
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 that drives platform and solution modernization with advanced AI capabilities such as LLMs, vector retrieval, computer vision, and intelligent agents.
You will drive the design and implementation of scalable, secure, and responsible AI/ML enabled systems that bridge merchandising, and planning - ensuring technology accelerates decisions-making.
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 that include attributes generation, demand forecasting, allocation optimization, store clustering, etc.
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 to drive meaningful growth.

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 (eg: Python, Java), and relevant libraries/frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
Deep understanding of machine learning, NLP, computer vision, and generative AI techniques.
Able to produce documentation such as narratives and root cause analysis providing actionable insights.
Hands on experience with cloud platforms (AWS, GCP, Azure), and MLOps tools.
Strong knowledge of data engineering concepts and big data.
Continuous learning mindset that stays on the leading edge of applied ML, LLM’s and NLP advancements.
Exceptional communication and storytelling skills for executive audiences.
PhD/Master’s in computer science, applied mathematics, statistics is a bonus.

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 $230,300 - 302,300annually; 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.

workplace arrangement

Hybrid

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead a global engineering organization and define a multi-year strategy to modernize merchandise planning, allocation, and related technology platforms. Deliver scalable, secure, reliable AI/ML-enabled solutions that improve planning decisions, while managing resources, budgets, stakeholders, and leadership development.

Requirements

A bachelor’s degree in computer science or a related field and at least five years of engineering leadership and delivery experience are required; retail or merchandise planning experience is a bonus. Candidates should bring experience with large budgets, planning systems, technology roadmaps, programming and ML frameworks, cloud platforms, MLOps, data engineering, and communicating complex technical concepts to executives.

Skills

Engineering Leadership
Technology Strategy
Merchandise Planning
Retail Planning And Allocations
Artificial Intelligence And Machine Learning
Generative AI
Data Engineering
Python
Java
TensorFlow
PyTorch
Scikit-Learn
Cloud Platforms
MLOps
Executive Communication
Budget Management

Benefits

Annual Bonus Program
Equity Offerings
Extended Health Benefits
Dental Benefits
Mental Health Plans
Paid Time Off
Savings And Retirement Plan Matching
Employee Discount
Fitness And Yoga Classes
Parenthood Top-Up
Development Courses
People Networks
Mentorship Programs
Leadership Series

Visa sponsorship

Not detected in the job text

Keywords

Global Product Technology
Merchandise Planning
Allocations
Assortment Planning
Space Planning
Size Planning
Product Lifecycle Management
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Vector Retrieval
Computer Vision
Intelligent Agents
Demand Forecasting
Allocation Optimization
Store Clustering
Python
Java
TensorFlow
PyTorch
Scikit-Learn
Anaplan
Oracle RPAS
AWS
Google Cloud Platform
Microsoft Azure
MLOps
Data Engineering
Big Data

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Work requirements

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