Senior Manager, Solutions Architecture - Data & AI

About the role

The Senior Manager, Solutions Architecture (Data & AI) bridges pre‑sales strategy and project delivery, leading technical design, scoping and architecture of data and AI solutions, estimating effort, and guiding delivery teams to turn client visions into scalable, business‑aligned products.

About the company

TELUS Digital is an award‑winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers. It delivers end‑to‑end digital experiences worldwide across eight service areas—including Data & AI, cloud engineering and product consulting—through a people‑first culture and the scale of its multi‑billion‑dollar parent.

Requirements

• Expertise in one or more cloud data platforms (e.g., Databricks, Snowflake) and/or cloud AI/ML services (e.g., AWS Bedrock/SageMaker, Azure ML, Google Vertex AI)
• Strong experience with major cloud providers (AWS, Azure, GCP) for deploying and managing data and AI solutions
• Deep knowledge of data ecosystems—including ingestion, ETL/ELT, warehousing, data lakes and real‑time analytics
• Understanding of current machine‑learning trends, MLOps and advanced AI concepts such as agentic AI and large language models
• Proficiency with MLOps principles and CI/CD tools for ML models
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Experience estimating software effort, work planning and building project plans within time and cost constraints
• Detail‑oriented with ability to navigate ambiguity
• Background delivering software or data solutions in an agency or client‑service environment
• Exceptional ability to explain complex data and AI concepts to technical and non‑technical audiences, including executives
• Experience conducting commercial conversations around budgets and fees for data and AI initiatives
• Passion for modern delivery processes (continuous delivery, rapid iteration, agile‑inspired methodologies for data/ML)
• Excellent verbal and written communication skills
• Ability to apply repeatable frameworks and best practices to adopt new data technologies or AI concepts
• Appreciation for the broader client enterprise and desire to expand accounts holistically
• Comfortable working in both pre‑sale and post‑sale environments