
Senior Manager, Data Analytics & Automation-AI Strategy Modernization
Job Description
Overview
At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges
Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage
Join a firm where your career can make a difference.
KPMG’s Management Consulting practice helps organizations leverage change. The Data, Analytics and Automation team helps organizations unlock value from data and AI by enabling data-informed decision-making through strategy, governance, and operating model design in complex enterprise environments.
We help organizations to become AI driven
Will you collaborate with us?
Our Team
As a Senior Manager in Data, Analytics and Automation, you will be part of our Technology Consulting practice within Consulting Firm
Our global network of professionals collaborates to design innovative, data-driven and AI-enabled solutions.
We integrate across advisory domains including Business Intelligence, Advanced Analytics, Digital Transformation, and Enterprise Solutions to help organizations embed AI into their core business strategy. We collaborate across service offerings on AI driven solutions.
The successful candidate will lead AI and advanced analytics strategy engagements, helping organizations identify, prioritize, and design AI-enabled opportunities.
This role is focused on strategy, use case design, and operating model definition—not model development or implementation
You will work with business and technology leaders to shape how AI is adopted responsibly and effectively across the enterprise.
What you will do
- Lead the development of AI and advanced analytics strategies and roadmaps
- Identify and prioritize AI use cases aligned to business value and strategic objectives
- Design AI operating models, including governance, roles, and delivery structures
- Define frameworks for responsible AI, including model risk management, ethics, and compliance
- Translate business challenges into AI-enabled solutions and high-level designs
- Develop business cases and value realization frameworks for AI initiatives
- Facilitate workshops to drive AI ideation, use case discovery, and prioritization
- Align AI strategy with underlying data capabilities and enterprise architecture
- Advise on adoption of emerging technologies