Senior Technology Director - Merchandise Planning

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.

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.

We’re seeking a Senior Director Technology to define and execute a multi‑year technology strategy that transforms how lululemon merchandises, plans, and delivers 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, 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.

• 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 are 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 decision‑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…