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About the Role
As a Senior Manager, Solutions Architecture with a focus on Data & AI, you'll play a pivotal role in bridging the gap between pre-sales strategy and project delivery. You will shape, architect, and launch impactful solutions that align with client and executive partner goals, ensuring technical soundness and alignment with business objectives.
Responsibilities
- Lead scoping, technical design, and work planning during the presale process, articulating data and AI capabilities to prospective clients.
- Play the lead role in technical architecture and discovery projects, using consulting methods to refine the data product and technical architecture of client projects.
- Design scalable data pipelines, machine learning model architectures, and MLOps frameworks.
- Own a technology vertical within Data & AI, encompassing solution design, platform selection, implementation support, and thought leadership.
- Enhance existing project teams with architectural account-level guidance or specific subject matter expertise in data engineering, machine learning, or artificial intelligence.
Requirements
- Multi-platform familiarity with expertise in one or more of the following: Cloud Data Platforms (Databricks, Snowflake), Cloud AI/ML Services (AWS Bedrock/Sagemaker, Azure ML, Google AI Platform/Vertex AI), or Backend Cloud Platforms (AWS, Azure, GCP).
- Specialized knowledge of the data ecosystem, including data ingestion, ETL/ELT processes, data warehousing, data lakes, and real-time analytics.
- Awareness of current trends in machine learning (supervised, unsupervised, deep learning), MLOps, and advanced AI concepts like Agentic AI or Large Language Models (LLMs).
- Deep understanding of MLOps principles and tools for CI/CD of machine learning models.
- Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
- Experience with software estimation, work planning, and building project plans within time/cost constraints.
- An eye for details and an ability to navigate ambiguity.
- Experience delivering software or data solutions in an agency/client-service environment.
- Ability to clearly break down complex data and AI concepts to both technical and non-technical individuals, including executive stakeholders.
- Experience in having commercial conversations involving budgets and fees related to data and AI initiatives.
- Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies for data and ML).
- Excellent verbal and written communication skills.
- Ability to use repeatable frameworks and best practices to incorporate new data technologies or AI concepts.
- Appreciation for the wider client enterprise and a desire to expand an account to service a client holistically.
- Equally comfortable working in pre-sale and post-sale environments.
Skills
- Data & AI
- Data Ecosystems
- Machine Learning
- AI Technologies
- Architectural Discovery
- Data Pipelines
- MLOps
- Cloud Data Platforms
- Databricks
- Snowflake
- Azure
- AWS
- GCP
- Advanced AI/ML Methodologies
- AWS Bedrock
- AWS Sagemaker
- Azure ML
- Google AI Platform
- Vertex AI
- Data Ingestion
- ETL/ELT Processes
- Data Warehousing
- Data Lakes
- Real-time Analytics
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Agentic AI
- Large Language Models (LLMs)
- CI/CD
- Docker
- Kubernetes
- Software Estimation
- Work Planning
- Project Planning
- Communication Skills
Location
- Toronto, ON
- Vancouver, BC
- Remote
Work Type
- Hybrid
- Remote
Experience Level
- Senior Manager
- Senior
About the Company
- TELUS Digital is an award-winning digital product consultancy and the digital division of TELUS, a major Canadian telecommunications provider.
- They design and deliver transformative customer experiences using cutting-edge technology, agile thinking, and a people-first culture.
- With a global team, they offer expertise in Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
- They enable seamless, trusted, and digitally powered experiences across various platforms, backed by the secure infrastructure of their parent company.
Equal Opportunity
- TELUS Digital is an equal opportunity employer committed to creating a diverse and inclusive workplace.
- Employment decisions are based on qualifications, merits, competence, and performance without regard to diversity characteristics.
- Information provided will only be used to process applications and produce tracking statistics; sensitive personal data should not be shared.