Senior Manager - Data Semantics and Context Modeling
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Key skills for this role
About the Role
lululemon is seeking a Senior Manager to lead the design, governance, and adoption of a trusted semantic layer across the enterprise data platform.
Key Skills for This Role
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
- 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
Requirements
- 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
Full Job Posting
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.
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
- 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.
Compensation And Benefits Package
- The typical hiring range for this position is from $171,800 $225,500 annually.
- Permanent employees may be eligible for our competitive annual bonus program.
- 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
- In person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
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