Senior Manager - Data Semantics and Context Modeling

About the role

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.

Core Responsibilities

• Own and evolve the enterprise semantic layer, ensuring consistent definitions, metrics, and meaning across all consumption patterns.
• Provide dimensional models and semantic abstractions that contextualize and improve the performance of analytics, BI, AI/ML, and other downstream applications.
• With a use-case based lens, identify and implement generative AI and multimodal methods to create the semantic layer and provide appropriate context for downstream analytics and AI use-cases.
• Maintain the business context layer, including hierarchies, relationships, business rules, and event semantics.
• Integrate semantics seamlessly with the data catalog, metadata, and lineage tooling to enable discoverability and trust.
• Drive adoption of the semantic layer across BI tools, dashboards, ad hoc analysis, data products, and AI-enabled analytics experiences.
• Partner with the enterprise data platform, and the data and insights delivery teams to enable delivery of context-driven data insights.
• Define and maintain canonical enterprise data models and common business entities (e.g., customer/guest, product, store, transaction, inventory).
• Lead and develop a high-performing team of data and semantic modeling experts.
• Foster a culture of collaboration, accountability, and continuous improvement.

Qualifications

• 10+ years in data, analytics, or information architecture, with deep experience in data semantics and taxonomy.
• Experience building or managing a centralized semantic layer or metrics platform, data mesh, and data products.
• 3+ years in senior leadership managing teams with deep complexity or multiple projects.
• Strong understanding of: Semantic layers and context modeling, Business metrics and KPI frameworks, Data governance and stewardship models.
• Experience supporting AI, machine learning, or natural language query and analytics use cases through governed semantic models.
• Demonstrated ability to lead through influence in a federated environment.
• Experience partnering with senior stakeholders (Director–VP level) across business and tech must haves.

Additional Notes

• Authorization to work in the U.S. is required for this role.
• 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 $179,800-$236,000 annually ; 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, 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.
• 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: In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.