What you will do:
- Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple's highest priority efforts
- Lead a best-in-class team of data scientists and analytics developers and grow each individual
- Build robust, efficient, and integrated data models in cloud data warehouses that will be used as the source of truth for analytics across the Investing product organization
- Set organizational standards and influence our data science and engineering culture
- Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented, and maintained
- Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions
- Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend
- Take ownership and ship it
- Empower the team by leveraging their diverse educational backgrounds
- Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)
Who you are:
- Ability to articulate their stance in a manner that effectively collaborates with different stakeholders
- Adjusts quickly to changing priorities and effectively manages complexity and change
- Can coach people in their current roles to improve performance and prepare them for future roles
- In addition to leading, a willingness to roll up their sleeves to tackle challenging technical problems
- Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
- Plans, organizes, schedules, and budgets in an efficient, productive manner
- Is eager to teach and learn from their team. We value making each other successful!
- Is a lifelong learner. You're constantly seeking and welcoming feedback to continue improving yourself and your craft
Skills we look for:
- Experience leading data teams and a proven dedication to helping your teams and others grow
- Strong business acumen and product sense and ability to help drive strategic vision
- Excellent Python and SQL skills
- Deep expertise in data warehouse architecture and advanced data modelling principles
- Proven track record in designing and implementing robust data pipelines and complex data transformations
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