Lululemon

Senior Manager - Data Semantics and Context Modeling

Lululemon$171K — $225K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data, analytics, or information architecture, focusing on data semantics and taxonomy
  • Experience managing a centralized semantic layer, metrics platform, or data products
  • 3+ years in senior leadership roles overseeing complex teams or multiple projects
  • In-depth knowledge of semantic layers, context modeling, and KPI frameworks
  • Understanding of data governance practices and stewardship models
  • Proven experience supporting AI, ML, or natural language analytics use cases with semantic models
  • Strong ability to influence and collaborate with senior stakeholders in a federated environment

Responsibilities

  • Own and evolve the enterprise semantic layer for consistent definitions and metrics.
  • Provide dimensional models and semantic abstractions for enhanced analytics performance.
  • Identify and implement generative AI methods for creating semantic layers based on use cases.
  • Maintain business context layers, including hierarchies and event semantics.
  • Integrate semantic tools with data catalog and lineage for discoverability.
  • Drive the adoption of the semantic layer across BI tools and analytics experiences.
  • Partner with teams to deliver context-driven data insights.
  • Define and maintain canonical enterprise data models and common business entities.
  • Lead and develop a high-performing team specializing in data and semantic modeling.

Benefits

  • Extended health and dental benefits, including mental health plans
  • Paid time off to support work-life balance
  • Savings and retirement plan matching
  • Generous employee discount on products
  • Access to fitness and yoga classes
  • Parenthood top-up support
  • Extensive development course offerings
  • Opportunities for mentorship and leadership development programs
Full Job Description
Description & Requirements

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 teamperformance. Thetypical hiring range for this position is from$171,800-$225,500annually; 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.

#LI-AG2

About Lululemon

Lululemon Athletica Inc. is a Canadian athletic apparel retailer headquartered in Vancouver, British Columbia, Canada. The company was founded in 1998 by Chip Wilson and has since grown to become a global brand with operations in North America, Europe, Asia, and Australia. Lululemon designs and sells a range of athletic apparel and accessories for women and men, including yoga pants, shorts, tops, jackets, and more. The company is known for its high-quality, stylish, and functional products, as well as its commitment to sustainability and social responsibility. Lululemon operates more than 500 stores worldwide and employs approximately 23,000 people.
Learn more about Lululemon
Size
19,000 employees
Market Cap
$40.3 billion
Industry
Net Income
$557.1 million
Founded
1998
5 Year Trend
+21.7%
Revenue
$4 billion
NASDAQ

Similar Jobs

More Jobs at Lululemon

More Information Technology Jobs

Find similar Senior Manager - Data Semantics and Context Modeling jobs: