Full-Time Manager Data Development

Manager, Data Development Job Details

Role: Manager, Data Development

Department: Data & Measurement (Pipelines)

Job Location: Remote (Canada)

Role Type: Full-Time, Permanent

Hours: Monday - Friday 9AM-5PM (in your timezone, flexible hours)

Pay: $103,000 - $134,000 CAD

Joining the Data & Measurement Department as our Manager, Data Development you will own the day-to-day operations and long-term planning for the data pipeline program, encompassing the collaboration between Pipeline and Marketing team members, infrastructure costs, resourcing, and project scoping, while contributing to our most complex data pipelining projects.

Your focus will be:

• Own the operations and success of the data pipeline program that delivers scalable and automated data warehouses to every project at Thrive, and collaborate with the Principal Data Architect to ensure standards are being met.
• Ensure the pipeline team has the resources, learning opportunities, and skill set to deliver high-quality work that drives better decision-making through the delivery of data warehouses to internal and external teams.
• Grow and develop Pipeline team members fostering their career growth and creating opportunities for innovation.
• You’ll ensure the team has the structure and capacity to excel in both delivery and strategic roadmapping work.
• Own the Pipeline team roadmap, including long-term project planning, infrastructure costs, appropriate testing of new technologies, and contributing to innovation.

Qualifications

• Led a data engineering team, ensuring scalable and automated data warehouses support multiple projects across an organization.
• Experience managing data infrastructure performance and costs, optimizing resource allocation to meet business needs.
• Collaborated cross-functionally with marketing, business development, and technical teams to develop high-quality data solutions.
• Skills to dive into a project, solve problems in multiple flavours of SQL, and are familiar with writing custom pipelines in python.
• Provided mentorship and career development support to team members, helping them grow their technical expertise and leadership skills.
• Stay current with evolving data technologies and have a proven track record of identifying and implementing the right tools to drive business success.

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