L4 Data Management - Customer Solutions Delivery AI Innovation Hub

Toronto, ON, CA, M5J 2V5

Full Time Mid-level / Intermediate CAD 145K - 269K * ^est.

TELUS

By choosing TELUS you get access to amazing plans, phones and high-speed internet on Canada's most-awarded network, and help connect Canadians in need.

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Posted 1 day ago

Description

Join our team

This is an exciting opportunity to join the CSD AI Innovation Hub within Customer Solutions Delivery (CSD). We are a dynamic and agile team revolutionizing field operations by designing data-driven AI solutions that improve OpEx, sales, billing and other metrics across our national technician workforce. The destination choice of autonomous and creative team members interested in developing their talents and knowledge, our AI Hub boasts a diverse skillset for solving some of TELUS’s biggest challenges.

You will join a team supporting highly visible programs and key deliverables that are transforming the telecommunications business model.

What you’ll do

As an L4 Data management team member of the CSD AI Innovation Hub, you’ll play a pivotal role in determining the viability and success of our programs. Your ability to coordinate between stakeholders and technical teams will be essential in ensuring the execution of projects that deliver tangible value to the organization. You will leverage your expertise in data science, data engineering and web development to provide insights that increase operational efficiency and drive continuous improvement, ultimately realizing value for TELUS.

Leverage exceptional SQL skills to source data across on premise and cloud systems
Lead initiatives to explore and validate data to determine the viability of AI Hub projects
Engineer efficient pipelines that regularly transform and ingest data that can be consumed by applications and workflows
Support the development, validation, and deployment of AI/ML models
Design and maintain data analytics dashboards that track the success of AI Hub programs and enable business stakeholders and field managers
Create actionable insights and reports to support strategic decision-making by leveraging the latest data visualization tools
Orchestrate hybrid data organization and migration

Qualifications

What you bring

Bachelor’s degree in Computer Science, Data Science, Statistics or related field
3+ years of experience working with enterprise data, and driving/executing on initiatives
Advanced knowledge of SQL and Python, cloud platforms (GCP) and source control (GitHub)
Experience with RDBM systems (Oracle, Microsoft SQL Server) and OLAP systems (BQ)
Expertise in building data pipelines leveraging ETL/ELT concepts, logging/monitoring and DevOps that manage CI/CD via IaC (Terraform, Pulumi) and cloud tools
Excellent project management and stakeholder communication skills