Technology Director, Program and Product Management, Enterprise Data and AI

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.

In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.

The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence  team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while embedding strong data governance and responsible AI practices from the very beginning.

By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.

As a Director, Product & Program Management, you will be accountable for defining and executing the Enterprise Data & AI product portfolio, ensuring the successful delivery of AI and data capabilities that create measurable business value. You will lead the technical product and program management function that connects business priorities with the Data and AI platform engineering, AI initiatives, and AI research teams, and you will partner with business stakeholders to deliver enterprise-scale AI solutions and data and AI services.

You will establish the operating rhythm for defining the enterprise AI priorities, portfolio planning, prioritization, execution, and reporting, while shaping the enterprise roadmap for AI and data use cases. Working closely with business leaders, you will identify opportunities to accelerate value through AI, manage strategic technology partnerships, and enable rapid experimentati on with emerging technologies through safe and scalable proof-of-concept processes.

• Define and evolve the Enterprise Data & AI roadmap by partnering with business stakeholders to prioritize AI and data use cases that balance near-term value with long-term strategic impact.
• Gather enterprise requirements, manage product backlogs, and align business objectives with priorities for the science and engineering teams.

• Own execution of the Enterprise Data & AI portfolio by establishing planning, governance, reporting, and delivery rhythms that ensure predictable outcomes
• Proactively manage cross-functional dependencies, risks, blockers, and prioritization decisions across business and technology teams.

• Identify and lead priority proof-of-concept initiatives with business owners and AI use case leads, implementing lightweight experimentation processes that safely evaluate emerging technologies and vendors.
• Develop strategic partnerships with external technology providers to accelerate delivery of enterprise AI capabilities and solutions.

• Build and lead a high-performing global technical Product & Program Management organization, fostering a culture of accountability, collaboration, operational excellence, and continuous improvement.
• Partner across Enterprise Data & AI, Technology, and business functions to enable adoption of enterprise AI and data capabilities and deliver measurable business outcomes.

• Bachelor's degree in Business , Computer Science, Engineering, or a related field;
  Master's degree is an asset.
• 10+ years of experience leading enterprise product management, technical program management, or portfolio delivery within technology organizations.
• Experience delivering large-scale data, AI/ML, analytics, or platform initiatives across multiple business and technology teams.
• Demonstrated success defining product roadmaps, managing cross-functional portfolios, and translating business strategy into executable delivery plans. Experience in retail context preferred.
• Experience leading product discovery, prioritization, and proof-of-concept initiatives for emerging technologies.
• Strong understanding of agile product development, portfolio management,…