Toronto, ON · Remote, Ontario · Remote, British Columbia · Vancouver, BC · Remote, Alberta · Toronto, Ontario, Canada
Open 5 months, first seen by us 162 days agoLocation type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Commercial › Pursuit & Solutions › Solutions ArchitectureFrom the employer’s posting
Will you now or in the future require the company to provide visa sponsorship (or a work permit) to work in this country of employment?From the employer’s application form
Lead scoping, technical design and work planning during pre-sales
Lead technical architecture and discovery on client data and AI projects
Design scalable data pipelines, ML model architectures and MLOps frameworks
Own a technology vertical within Data & AI, including platform selection
Provide architectural guidance and subject matter expertise to project teams
Lead scoping, technical design, and work planning during the presale process
Play the lead role in technical architecture and discovery projects
designing scalable data pipelines, machine learning model architectures, and MLOps frameworks
Own a "technology vertical" within Data & AI, encompassing solution design, platform selection
Enhance existing project teams with architectural account-level guidance
Deep understanding of MLOps principles and tools for continuous integration/continuous delivery (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.
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.
Welcome to TELUS Digital — where innovation drives impact at a global scale.
In the employer’s words · Read in context · Company website ↗
Open 5 monthsWe first saw this posting 162 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 162
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past TELUS Digital’s usual: its jobs come down by about day 16.
From 9,245 similar postings that came down, and 8 of TELUS Digital’s. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
You'll engage with prospective clients to explore how our capabilities can meet their unique data and AI challenges, lead architecture efforts for new engagements, and collaborate closely with delivery teams to bring client visions to life. You'll also provide critical estimates around team composition, build scope, and resource planning—ensuring data and AI projects are realistically scoped and staffed for success. Between engagements, you'll lend your expertise across teams as a flexible problem-solver, while deepening your knowledge in areas like cloud data platforms (e.g., Databricks, Snowflake, Azure, AWS, GCP) or advanced AI/ML methodologies. Responsibilities
- Delivery: Play the lead role in technical architecture and discovery projects, using consulting methods to refine the data product and technical architecture of client projects. This includes designing scalable data pipelines, machine learning model architectures, and MLOps frameworks. - Subject Matter Expertise: Own a "technology vertical" within Data & AI, encompassing solution design, platform selection (e.g., Databricks, Snowflake, AWS Bedrock), implementation support, and thought leadership. This may include areas such as large-scale data warehousing, real-time analytics, machine learning operations (MLOps), or agentic AI systems. - Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise in data engineering, machine learning, or artificial intelligence.
- Cloud Data Platforms: Deep experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions. - Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI). - Backend Cloud Platforms: Strong experience with major cloud providers (AWS, Azure, GCP) for deploying and managing data and AI solutions.
- Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI). - Backend Cloud Platforms: Strong experience with major cloud providers (AWS, Azure, GCP) for deploying and managing data and AI solutions. - Data & AI Industry Expertise: Specialized knowledge of the data ecosystem, including data ingestion, ETL/ELT processes, data warehousing, data lakes, and real-time analytics.
- Multi-platform familiarity, with expertise in one or more of the following: - Cloud Data Platforms: Deep experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions. - Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI).
- Deep understanding of MLOps principles and tools for continuous integration/continuous delivery (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.
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Yes. We’ve followed 2 other Senior Manager, Solutions Architecture - Data & AI jobs there since June 2026. All 2 are still up.
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
This role will be in a Work From Near (Hybrid) capacity based in one of the following offices: Toronto, ON or Vancouver, BC OR in a Work From Anywhere (Remote) capacity with travel to clients and TELUS Digital Solutions offices expected.
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. Drawing on your deep knowledge of data ecosystems, machine learning, and AI technologies, you'll help shape, architect, and launch impactful solutions that align with client and executive partner goals. Whether leading architectural discovery for new data and AI initiatives or guiding in-flight projects, you'll ensure solutions are both technically sound and aligned with business objectives and operational needs.
You'll engage with prospective clients to explore how our capabilities can meet their unique data and AI challenges, lead architecture efforts for new engagements, and collaborate closely with delivery teams to bring client visions to life. You'll also provide critical estimates around team composition, build scope, and resource planning—ensuring data and AI projects are realistically scoped and staffed for success.
Between engagements, you'll lend your expertise across teams as a flexible problem-solver, while deepening your knowledge in areas like cloud data platforms (e.g., Databricks, Snowflake, Azure, AWS, GCP) or advanced AI/ML methodologies.
Presale: Lead scoping, technical design, and work planning during the presale process, articulating our data and AI capabilities to prospective clients.
Delivery: Play the lead role in technical architecture and discovery projects, using consulting methods to refine the data product and technical architecture of client projects. This includes designing scalable data pipelines, machine learning model architectures, and MLOps frameworks.
Subject Matter Expertise: Own a "technology vertical" within Data & AI, encompassing solution design, platform selection (e.g., Databricks, Snowflake, AWS Bedrock), implementation support, and thought leadership. This may include areas such as large-scale data warehousing, real-time analytics, machine learning operations (MLOps), or agentic AI systems.
Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise in data engineering, machine learning, or artificial intelligence.
Multi-platform familiarity, with expertise in one or more of the following:
Cloud Data Platforms: Deep experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions.
Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI).
Backend Cloud Platforms: Strong experience with major cloud providers (AWS, Azure, GCP) for deploying and managing data and AI solutions.
Data & AI Industry Expertise: Specialized knowledge of the data ecosystem, including data ingestion, ETL/ELT processes, data warehousing, data lakes, and real-time analytics.
Machine Learning & AI Acumen: Candidates should be aware of current trends in machine learning (supervised, unsupervised, deep learning), MLOps, and advanced AI concepts like Agentic AI or Large Language Models (LLMs).
Technical Proficiency:
Deep understanding of MLOps principles and tools for continuous integration/continuous delivery (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, beyond a single data project or AI initiative, and a desire to expand an account to service a client holistically.
Equally comfortable working in pre-sale and post-sale environments.
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
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Toronto, Ontario, Canada
Location & Flexibility This role will be in a Work From Near (Hybrid) capacity based in one of the following offices: Toronto, ON or Vancouver, BC OR in a Work From Anywhere (Remote) capacity with travel to clients and TELUS Digital Solutions offices expected. The Opportunity
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