Senior Manager- AI/ML Science [T500-28100]

Who we are: Founded in 1998 at Vancouver, lululemon is a performance and lifestyle product company that create transformational products and experiences that build meaningful connections, unlocking greater possibility and wellbeing for all. We are driven by our brand purpose to elevate human potential by making individuals feel their best which helps us design our products with high filter and high style. We use a unique product creation methodology called Science of Feel in all our products to offer convenient, comfortable, and long-lasting experience. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we're in. About this team: 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 at scale. The 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 Core

: As the Director, Data and Insights Delivery, you are accountable for the end-to-end delivery, implementation, and operation of enterprise data products, and deliver insights that directly lead to measurable business outcomes. This role owns the full lifecycle of enterprise and domain data products — from ingestion and transformation through serving and consumption — ensuring quality, reliability, adoption, and reuse across domains. In this role, you will partner with the data platform team to leverage the enterprise platform and implement and publish data products as single, consistent source of truth. You will use the enterprise catalog and semantic/context layer to deliver insights and create self-service capabilities for analysts and business users and stakeholders. You will partner closely with Product Managers and use-case owners in the business, and the platform, architecture and governance teams to translate business needs into solutions built on the enterprise data platform. Select