Senior Consultant, Data Analytics & Automation - Data Modernization

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! 

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 requirements 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 requirements 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 requirements (e.g., data privacy, controls, reporting) 

Practice Development

• Contribute to internal knowledge development, methodologies, and thought leadership 

• Support proposal development, research, and client presentations as neede d

• Bachelor’s degree in Management Information Systems , Computer Science, Business Administration, Data Science, or a related field (MBA considered an asset) 

• 3+ years of experience in data architecture, data management, data governance, or data  strategy

• 2+ years of experience in consulting or advisory environments

Technical & Functional Capabilities

• U nderstanding of enterprise data architecture concepts, including modern data platforms (cloud,  lakehouse ) and integration patterns 

• Working knowledge of data governance and data management frameworks (e.g., DAMA-DMBOK, DCAM) 

• Experience supporting data strategy, roadmap development, or operating model design initiatives 

• Familiarity with metadata management, data lineage, and master data management (MDM) concepts 

• Exposure to data quality management principles and tools 

Tools & Technologies

• Experience or exposure to modern data platforms and tools such as Azure, AWS, or GCP 

• Familiarity with tools such as Databricks, Snowflake, Collibra, Informatica, Atlan, or  Attacama is an asset 

Professional Skills

• Strong analytical and problem-solving skills, with the ability to break down complex problems into actionable components 

• Effective communication skills, with the ability to translate between business and technical stakeholders 

• Experience supporting workshops, stakeholder interviews, and cross-functional collaboration 

• Ability to work in a fast-paced, team-oriented environment and manage multiple priorities 

Additional Assets

• Relevant certifications (e.g., CDMP, DCAM) are considered an asset 

• Experience in regulated industries such as financial services or insurance is a plus 

• Willingness to travel based on client and project needs

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Integrity , we do what is right |  Excellence , we never stop learning and improving |  Courage , we think and act boldly | Together , we respect each other and draw strength from our differences |  For Better , we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling View phone number on careers.kpmg.ca.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.