Ready to build the foundation for intelligent networks?
Our Team and What We'll Accomplish Together
Join TELUS Technology's Network Automation and Intelligence team, where we're revolutionizing how Canada's leading telecommunications network operates. We're a dynamic group of software engineers and network specialists building the intelligent, self-healing network of tomorrow. Our mission? To leverage cutting-edge AI and machine learning to predict network issues before they happen, optimize performance in real-time, and deliver exceptional experiences to millions across Canada.
As the Technology Strategy Manager for the Universal Inventory Platform, you'll lead the technical execution of a transformational program that serves as the single source of truth for network inventory across TELUS. You'll build and mentor a team of 12 engineers while delivering critical milestones—federating legacy systems and establishing enterprise-grade data quality standards. Your work will have high visibility across the organization, with regular engagement with the Chief Information Office (CIO) and Chief Technology Office (CTO) on progress and strategic decisions. This initiative will impact key departments across TELUS, enabling network automation and predictive maintenance at scale.
What you'll do
- Build and mentor a high-performing engineering team across DevOps, data engineering, data quality, and QA disciplines—hiring talent, developing capabilities, and fostering a culture of ownership and technical excellence
- Define the technical vision and platform architecture in partnership with the Sr Program Manager and stakeholders, making key technical decisions that balance speed, quality, and maintainability
- Own platform reliability and operations—ensuring Universal Inventory is always available, performant, and secure through monitoring, incident response, and continuous improvement practices
- Lead the migration of data from legacy inventory systems (Netcracker, Circuit Vision, etc.) into the new platform, managing complexity, dependencies, and data integrity risks
- Establish data quality standards and governance frameworks in partnership with your data quality engineers, ensuring inventory accuracy and completeness across the platform
- Design and implement network device data models (RAN, core, access, inventory hierarchies) that serve as the foundation for downstream AI/ML and automation initiatives
- Collaborate across organizational boundaries with the CIO, network operations, automation teams, and AI/ML teams to understand their needs and ensure the platform delivers value
- Drive continuous improvement by building feedback loops, measuring platform performance and data quality metrics, and iterating on processes and capabilities
