Senior Technology Director - Merchandise Planning
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Key skills for this role
About the Role
lululemon is seeking a Senior Director of Technology to define and execute a multi-year technology strategy for merchandise planning and allocations. You will lead a global engineering organization, modernize planning systems, and embed AI-driven automation.
Key Skills for This Role
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
- 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
Requirements
- 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
Full Job Posting
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.
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, an
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 m
- 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.
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.
- 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.
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.
Compensation And Benefits Package
- The typical hiring range for this position is from $241,300 CAD 316,700 annually.
- Permanent employees in this position may be eligible for our competitive annual bonus program and equity offerings.
- 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.
workplace arrangement
- Hybrid: In person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
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