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Added 8 hours ago
HR
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Senior Technology Manager, Data Semantics and Context Modeling
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI team is at the center of how lululemon scales as a data-driven organization. As the Senior Manager, Data Semantics and Context Modeling, you will lead the design,…
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lululemon

Senior Technology Manager, Data Semantics and Context Modeling

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 11, 2026
Experience: 10+ years in data, analytics, or information architecture, with deep experience in data semantics and taxonomy
Posting language: English
Posted: Nov 11, 2026

Original job description

Requirements

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.

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 Responsibilities

The Enterprise Data & AI team is at the center of how lululemon scales as a data-driven organization. As the Senior Manager, Data Semantics and Context Modeling, you will lead the design, governance, and adoption of a trusted semantic layer across our enterprise data platform. In this role, you’ll help shape how the business ontology, context, and knowledge are represented in the Enterprise Data Platform. You will build and provide the models and semantic abstractions that support context-driven analytics, BI, and AI/ML solutions. You will integrate semantics with the data catalog, metadata, and lineage tooling to create discoverability. You will create representations such as knowledge graphs to capture relationships, attributes and semantics of lululemon’s enterprise data, enabling the right context to be integrated into downstream AI applications and insights generation.

If you’re motivated by solving complex alignment challenges, influencing at scale, and building something foundational that impacts the entire organization, this is a rare opportunity to define how data and AI work at lululemon.

Select Responsibilities Include

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, aka doesn’t take yourself too seriously.

Additional Notes

Authorization to work in Canada is required for this role

Compensation And Benefits Package

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 $171,800-$225,500 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

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 (to name a few)

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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the design, governance, and adoption of the enterprise semantic layer, including canonical data models, business context, metrics, and knowledge graph representations. Partner across data, technology, and business teams to enable trusted, context-driven analytics and AI, while leading and developing a high-performing modeling team.

Requirements

Requires 10 or more years of experience in data, analytics, or information architecture, including deep expertise in semantics and taxonomy, plus experience with semantic layers, metrics platforms, data mesh, and data products. Also requires at least three years of senior team leadership, knowledge of governance and business metrics, experience supporting AI or analytics use cases, and the ability to influence and partner with senior stakeholders.

Skills

Data Semantics
Semantic Layer Design
Context Modeling
Taxonomy
Dimensional Modeling
Data Governance
Data Stewardship
Business Metrics and KPI Frameworks
Knowledge Graphs
Metadata Management
Data Catalogs
Data Lineage
Generative AI
Machine Learning
Natural Language Query and Analytics
Team Leadership

Benefits

Annual Bonus Program
Extended Health Benefits
Dental Benefits
Mental Health Plans
Paid Time Off
Savings and Retirement Plan Matching
Employee Discount
Fitness and Yoga Classes
Parenthood Top-Up
Development Courses
People Networks
Mentorship Programs
Leadership Series

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Platform
Enterprise Data and AI
Semantic Layer
Context Modeling
Business Ontology
Knowledge Graphs
Dimensional Models
Canonical Enterprise Data Models
Business Entities
Business Rules
Event Semantics
Data Catalog
Metadata
Data Lineage
Data Governance
Data Stewardship
Data Mesh
Data Products
Business Metrics
KPI Frameworks
Generative AI
Multimodal Methods
Artificial Intelligence
Machine Learning
Natural Language Query
Business Intelligence
Analytics
Data Insights
Retail
Responsible AI

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Jobs in Canada