Senior Manager, People Science

This job is with lululemon, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.

Description & Requirements

Sr. Manager, People Research Science

Who we are :

lululemon is a yoga-inspired technical apparel company up to big things. The practice and philosophy of

yoga informs our overall purpose to elevate the world through the power of practice. We are proud to be

a growing global company with locations all around the world, from Vancouver to Shanghai, and places in

between. We owe our success to our innovative product, our emphasis on our stores, our commitment to

our people, and the incredible connections we get to make in every community we are in.

About this team :

The People Analytics & Insights team at lululemon is on a journey to create a high-performance work culture

by support the People & Culture (HR) organization and the business with data-driven insights. As a Sr. Manager

of People Research Science, you will lead and build a team of People Scientist and Employee Listening

professions in service of the broader People Analytics team to conduct research and listening initiatives that

our business leaders need to help scale and grow lululemon. You will be responsible for driving the research

science vision and introduce ML principles and build prescriptive analytics into the way of life at lululemon.

A day in the life :

• Lead and grow a world class applied science team
• Lead, conduct, and support applied organizational research projects that have high technical depth

and business impact, including areas of statistical and causal inference, user modeling, social network

analysis, etc.

• Lead multiple projects, inferring the ROI of our programs through scientifically backed methods
• Work with large and complex data sets to solve a wide array of challenging problems using different

analytical and statistical approaches.

Contribute towards advancing the Listening & Research discipline at lululemon, including but not

limited to driving data best practices (e.g. analysis, experimentation etc), documenting research

processes, and writing write papers to contribute to the lululmeon people science knowledge base.

Utilize advanced quantitative methods such as experimental methods, causal inference, and creating

NLP to tackle complex, long-term challenges that have a significant impact on our business.

• Consulting on survey design to achieve the research results needed to produce insights desired
• Conduct data analysis of major survey projects across the lifecycle of employment through a

continuous listening approach

Stay informed about industry trends, emerging technologies, and competitive landscapes to

inform research strategies and stay ahead of the curve

Qualifications :

• Master's degree in Statistics, Data Science, Mathematics, Psychology, Economics, Operations Research, Engineering, or a related quantitative field. (PhD preferred)
• 8 years of work experience using analytics to solve product or business problems, coding (e.g.,

Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a

PhD degree. .

• 3 years of experience as a people manager within a technical leadership role.
• Excellent communication skills and experience successfully partnering with senior leaders to drive

improved outcomes for the business through analytics.

• Proven ability to perform with a high degree of accuracy and detail orientation
• Proven ability to deliver presentations to stakeholders that tell a compelling story using analytics

relevant to the audience.

• Experience with employees and organizational data is preferred required
• Advanced People Analytics domain knowledge required
• Preference will be given to published researchers
• Discretion and experience working with sensitive and confidential data
• Training in a quantitative field, computer science, economics, or other relevant fields.
• Advanced SQL , querying, data mining & cleaning skills
• Expert Experience with R or Python is required
• Experience building Machine Learning Models

Must haves :

Acknowledges the presence of choice in every moment and takes personal responsibility for their

life.

• Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
• Communicates with honesty and kindness and creates the space for others to do the same.
• Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Fosters connection by putting people first and building trusting relationships.
• Integrates fun and joy as a way of being and working, aka doesn't take themselves too seriously.

Additional NotesImmigration support is potentially available 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 $158,900-$208,500 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

This role is classified as Hybrid under our SSC Workplace Policy :

Hybrid

In-person collaboration is important, and much of the role can be performed remotely. Work is performed onsite at least 3 days per week.

LI-Hybrid #LI-ahalim