Ready to create better business outcomes with your data exploration and creativity?
Join our team and what we’ll accomplish together.
About Us Our Supply Operations and Procurement team is dynamic, fast-paced, and entrepreneurial, responsible for driving strategic growth that enhances customer experience. We work across our Chief Procurement Office (CPO) and other stakeholders at TELUS to develop roadmaps for key supply operations and logistics capabilities that directly impact product and service delivery.
What You’ll Do As an L3 Data Management professional on the Analytics & Insight team within Supply Operations and Procurement, you will support complex cross-functional programs and drive strategic initiatives focused on value realization. Your ability to coordinate between stakeholders and technical teams will be essential for the successful execution of projects delivering tangible value. You will leverage expertise in Source-to-Pay and Order-to-Cash processes to optimize operational efficiency and drive continuous improvement, realizing value for TELUS. Your experience in Business Unit integration will align business units and foster collaboration to maximize value creation.
Key Responsibilities
Lead the development and maintenance of data analytics dashboards for supply chain operations and procurement.
Drive data asset management and governance within the Supply Operations / Procurement ecosystem.
Support the development, validation, and deployment of AI/ML models for Supply Ops / Procurement optimization.
Create actionable insights and reports to support strategic decision-making.
Implement data quality frameworks and standards.
What You Bring
Advanced expertise in data analytics and visualization tools.
Strong experience with AI/ML model development and deployment.
Deep understanding of supply chain and procurement processes.
Proficiency in data management and governance principles.
Experience with business intelligence platforms.
Strong project management and stakeholder communication skills.
Advanced degree in Data Science, Computer Science, or related field.
Expertise in programming languages (Python, R, SQL).
Experience with BI tools (Tableau / Domo).
Knowledge of cloud platforms and data warehousing.
Understanding of procurement systems and ERP platforms.