Senior Consultant, Data Analytics & Automation - Data 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.
At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.
We help organizations become data-driven
Will you collaborate with us?
Our Team
As a Senior Consultant in Data, Analytics and Automation, you will be a part of our Technology Consulting (Data, Analytics and Automation) practice within KPMG
This is a worldwide network of professionals who collaborate on a daily basis to create value from data
Enterprise Data Management integrates and is the connecting link with other data focused advisory services including Business Intelligence, Advanced Analytics, Digital Transformation, Enterprise Solutions and Data Security
We collaborate across service offerings on data driven solutions
And that is why Forrester Research has recently recognized KPMG as one of the most prominent advisory firms in Data & Analytics!
What you will do
Data Strategy & Architecture Support
- Support the definition of enterprise data architecture vision and strategy aligned to business priorities
- Contribute to current-state assessments of data architecture, platforms, governance, and operating models to identify gaps and opportunities
- Assist in designing target-state data architectures and roadmaps, including modern data platforms (e.g., cloud, lakehouse, data fabric)
- Translate business
into data and analytics solutions, ensuring alignment between functional needs and technical design
Data Transformation & Delivery
- Contribute to the development of data transformation strategies and business cases, including value articulation and implementation considerations
- Support the design and implementation of data governance frameworks (e.g., data ownership, stewardship, policies, and standards)
- Assist in establishing core data management capabilities such as metadata management, data lineage, and master data management (MDM)
- Support data quality initiatives, including defining quality rules, monitoring approaches, and remediation activities
Analytics & Data Enablement
- Help enable trusted analytics and AI use cases by supporting the design of well-governed and accessible data architectures
- Contribute to data product design, supporting reusable and domain-oriented data assets
- Assist in advising on modern data platforms and tools (e.g., Databricks, Snowflake, Collibra), including architecture and governance considerations
Client Engagement & Collaboration
- Participate in client workshops and working sessions to gather
and align on data priorities and use cases
- Collaborate with cross-functional teams (business, technology, risk) to deliver integrated data solutions
- Support the development of key deliverables such as data strategies, architecture diagrams, governance frameworks, and data glossaries
- Contribute to ensuring alignment with regulatory, risk, and compliance
(e.g., data privacy, controls, reporting)
Practice Development
- Contribute to internal knowledge development, methodologies, and thought l