Product Owner with AI/ML-Canada

Role : Product Owner with AI / ML

Location : Vancouver-Day one onsite

Duration : Fulltime

Must Have : BSA / Product Owner with AI / ML

Profile

The ideal candidate will have a history of demonstrated results leading mid-size to large cross-functional Data Science / Artificial Intelligence / Machine Learning teams to deliver business values across matrixed organizations.

They must thrive in fast-paced environments, be able to manage through ambiguity and complexity, create and simplify processes, and simultaneously support multiple projects impacting a growing global organization.

This role requires excellent communication and organizational skills and the ability to work closely with internal technical teams as well as different facets of the lululemon enterprise.

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.

Strong skills in Agile and facilitating experience of scrum events within team and program

A day in the life :

Analyze technology systems and related processes to identify and design improvements.

Coordinate with data scientists and ML engineers to develop the most cost-effective solution on complex, high-impact efforts.

Assemble resources and key decision makers from across the organization to deliver defined scope of work and support through go-live.

Understand business needs around planning & demand forecasting and translate to functional and technical requirements.

Understand end-user interfaces and actions, and how a forecast supports those actions.

Define minimum feature set, acceptance criteria, user acceptance tests.

Manage Epic and Story level project requirement.

Document technical specifications.

Qualifications :

5+ years in technology with recent experience in Data Science / Artificial Intelligence / Machine Learning projects

5+ years of agile and scrum team experience.

Retail industry experience with Demand Forecasting, Planning and Allocation systems.

Excellent communication skills : both verbal and written.

Development experience or strong understanding of python programming language.

Strong data analysis and problem-solving skills.

Strong cloud technology background : AWS / Azure preferred.

Knowledge of SQL scripts for analysis and reporting : Snowflake / Databricks preferred.

Experience in agile / enterprise tools such as Jira, Confluence, ServiceNow.

L!-CEIPAL