Technology Manager, People Data Analytics
- Vancouver, BC, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
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 People Data and Analytics team at lululemon delivers secure, scalable analytical solutions that empower our employees and support strategic business initiatives. We combine modern data platforms like Databricks, MS Fabric, and Snowflake with Agile and DevSecOps practices to build trusted, high-quality data products and integration solutions. This team is responsible for all people data platforms/technologies and responsible for delivering on our aligned people data analytics roadmap, making data accessible and powering decision making across the enterprise. This is a global team, primarily out of Seattle, WA and Vancouver Canada.
Our mission is to enable cost effective data-driven decision-making for our people by ensuring our solutions are reliable, compliant, and aligned with organizational goals. We work cross-functionally with enterprise engineering, architecture, analytics, and business teams to create meaningful impact through technology.
Core Responsibilities
It’s exciting times at lululemon and we are having a great time delivering value to our guests throughout all our channels. As the Sr. Technology Manager, People Data and Analytics, you will lead the overall delivery of our people data and analytics technology roadmap as well as ensure our systems are performant for our guests. This is a critical leadership role at lululemon, working very closely with business partners leveraging various methodologies to deliver on the priorities. You will lead world class full stack technology teams and deliver value to our guests in a release often, incremental value environment.
Key Responsibilities Include
Leadership & Experience
- Prior experience leading or managing data engineering teams
- Comfortable owning delivery, quality, and operational outcomes across data and analytical platforms
- Data Platforms: Databricks, MS Fabric, Snowflake
- Cloud: Azure Cloud Platform
- Streaming & Integration: Kafka, Azure Data Factory
- Infrastructure as Code: Terraform
- Data Governance & Catalog: Atlan or equivalent enterprise data governance tool
- Proven experience managing sensitive and PII data in enterprise environments
- Prior exposure to People & Culture (P&C) / HR data domains preferred
- Strong understanding of data access controls, privacy, and governance expectations
- Experience in data architecture and data modeling for analytics and reporting
- Prior knowledge of ML engineering enablement (feature pipelines, data readiness for ML)
- Ability to design scalable, reliable data solutions aligned with engineering and platform standards
- Bachelor’s degree and/or applicable experience in the information technology field
- 7+ years of experience in Technology
- 7+ years of experience directly leading, developing people and teams is required
- 7+ years of experience delivering in the people and culture space with a strong data/analytics background.
- Demonstrated understanding and thought leadership of analytics storage, instances, integrations, security and reporting.
- 5+ years of experience working with data warehouses and top industry technologies in the analytics space.
- Demonstrated ability to delivery on business priorities at the enterprise and portfolio level
- 5+ years of experience within a functional discipline such as engineering, architecture or program/project management
- Demonstrated experience managing $10M+ technology portfolios
- Demonstrated experience managing projects using various delivery methodologies including waterfall, agile and Kanban
- Strong communication and interpersonal skills with a high degree of professionalism in working collaboratively at all levels inside and outside of the organization.
- 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.
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 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)
workplace arrangement
Hybrid
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
More about this job
Responsibilities
Lead delivery of the people data and analytics technology roadmap, overseeing data platforms and analytical solutions that are secure, scalable, reliable, and aligned with business priorities. Manage full-stack technology teams and operational outcomes while partnering across business, engineering, architecture, and analytics teams.
Requirements
Requires at least seven years of technology experience and seven years leading teams, including substantial experience delivering people and culture data and analytics solutions. Candidates should bring data warehouse and architecture expertise, experience managing technology portfolios of $10 million or more, and proficiency with enterprise delivery methods and data governance.
Skills
- Data Engineering Leadership
- People Data Analytics
- Databricks
- Microsoft Fabric
- Snowflake
- Azure
- Kafka
- Azure Data Factory
- Terraform
- Data Governance
- Data Architecture
- Data Modeling
- Data Privacy And Security
- Machine Learning Enablement
- Agile Delivery
- Portfolio Management
Benefits
- Annual Bonus Program
- Extended Health And 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
Categories
- Technology
- Data & Analytics
- Management & Leadership
- Human Resources
- Retail
Keywords
- People Data Analytics
- People And Culture
- Human Resources Data
- Data Engineering
- Databricks
- Microsoft Fabric
- Snowflake
- Azure Cloud Platform
- Kafka
- Azure Data Factory
- Terraform
- Atlan
- Data Governance
- Data Warehousing
- Data Architecture
- Data Modeling
- Analytics And Reporting
- Personally Identifiable Information
- Data Privacy
- Access Controls
- Machine Learning Engineering
- Feature Pipelines
- DevSecOps
- Agile
- Kanban
- Waterfall
- Portfolio Management
- Enterprise Technology
- Data Integration