Senior Technology Manager, Data Analytics

Position: Senior Technology Manager, People Data Analytics
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 Dev Sec Ops  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 & Domain Expertise

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

Engineering & Architecture Skills

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

Qualifications

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.

Must Haves

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