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Technology Director, Program and Product Management, Enterprise Data and AI
lululemon
Vancouver, CAN
Full-time
Director
Onsite
CAD 196,600 to CAD 258,100 annually
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Enterprise data and AIProduct managementTechnical program managementPortfolio managementAI/ML initiativesData analytics and insights
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Enterprise data and AIProduct managementTechnical program management
Role Overview
lululemon's Enterprise Data & AI organization builds data and AI platforms and services that support intelligent enterprise operations.
The organization delivers a trusted unified data foundation, analytics and insights, AI solutions, data governance and responsible AI practices.
The Technology Director will lead product and program management for the Enterprise Data & AI portfolio and connect business priorities with technical delivery.
Key Skills for This Role
Enterprise data and AIProduct managementTechnical program managementPortfolio managementAI/ML initiativesData analytics and insights
Full Job Posting
About the team and role
lululemon's Enterprise Data & AI organization builds data and AI platforms and services that support intelligent enterprise operations.
The organization delivers a trusted unified data foundation, analytics and insights, AI solutions, data governance and responsible AI practices.
The Technology Director will lead product and program management for the Enterprise Data & AI portfolio and connect business priorities with technical delivery.
Product strategy and portfolio
- Define and evolve the Enterprise Data & AI roadmap by prioritizing AI and data use cases with business stakeholders.
- Gather enterprise requirements, manage product backlogs and align business objectives with science and engineering priorities.
- Establish operating rhythms for enterprise AI priorities, portfolio planning, prioritization, execution and reporting.
Program execution and governance
- Own execution of the Enterprise Data & AI portfolio through planning, governance, reporting and delivery rhythms.
- Manage cross-functional dependencies, risks, blockers and prioritization decisions across business and technology teams.
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