Senior Manager – Data Semantics and Context Modeling

lululemon located at Vancouver, BC is currently accepting applications for the position of Senior Manager – Data Semantics and Context Modeling. The company is looking for a motivated individual with strong interpersonal skills who is ready to start as soon as possible. The employer is offering a full-time position.

Employer Name: lululemon
Position: Senior Manager – Data Semantics and Context Modeling
Salary: $171,800-$225,500 annually
Employment type: Full-time
Location: Vancouver, BC

Also hiring: Food service supervisor

Job Description

• The candidate will lead the development and ongoing evolution of the enterprise semantic layer to ensure standardized definitions, metrics, and meanings across all data consumption.
• The candidate will be responsible for providing dimensional models and semantic abstractions that contextualize and improve the performance of analytics, BI, AI/ML, and other downstream applications.
• The candidate must apply a use-case driven approach to identify and implement generative AI and multimodal techniques for building the semantic layer and enabling contextual insights for downstream analytics and AI use cases.
• The candidate will be responsible for maintaining the business context layer, including hierarchies, relationships, business rules, and event semantics.
• The candidate will be responsible for integrating semantics seamlessly with data catalog, metadata, and lineage tooling to enable discoverability and trust.
• The candidate must lead the adoption of the semantic layer across BI tools, dashboards, ad hoc analysis, data products, and AI-enabled analytics platforms.
• The candidate must collaborate with the enterprise data platform and data and insights delivery teams to support the delivery of context-driven insights.
• The candidate will be responsible for defining and maintaining canonical enterprise data models and common business entities such as customer/guest, product, store, transaction, and inventory.
• The candidate will be responsible for leading and developing a high-performing team of data and semantic modeling experts.
• The candidate will be responsible for fostering a culture of collaboration, accountability, and continuous improvement.

Job Requirements

• The candidate must have 10+ years of experience in data, analytics, or information architecture, with deep expertise in data semantics and taxonomy.
• The candidate must have experience building or managing a centralized semantic layer or metrics platform, data mesh, and data products.
• The candidate must have at least 3+ years of senior leadership experience managing teams with high complexity or multiple concurrent projects.
• The candidate must possess a strong understanding of semantic layers, context modeling, business metrics and KPI frameworks, and data governance and stewardship models.
• The candidate must have experience supporting AI, machine learning, or natural language query and analytics use cases through governed semantic models.
• The candidate must demonstrate the ability to lead through influence in a federated organizational environment.
• The candidate will be required to demonstrate experience collaborating with senior stakeholders at Director and VP levels across business and technology teams.
• The candidate must acknowledge the presence of choice in every moment and take personal responsibility for their actions and decisions.
• The candidate must possess an entrepreneurial spirit and continuously seek innovative ways to achieve strong results.
• The candidate must communicate with honesty and kindness while encouraging others to do the same.
• The candidate must lead with courage, recognizing that the possibility of greatness is greater than the fear of failure.
• The candidate must foster connection by putting people first and building trusting relationships.
• The candidate must integrate fun and joy into their way of working while maintaining a balanced and positive approach.
• The candidate must be legally authorized to work in Canada.

Additional information

Work conditions

• The candidate will be required to support in-person collaboration and connection as an essential part of the company culture.
• The candidate will be required to perform work onsite for a minimum of 4 days per week.

Benefits

Kindly use the given options to submit your application, if you are interested.

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