Senior Consultant, Data Analytics & Automation - AI Modernization at KPMG — NeverHard
Senior Consultant, Data Analytics & Automation - AI Modernization at KPMG in Toronto, Ontario. Skills: AI Frameworks, AI Strategy, AI/ML Concepts, Advanced Analytics, Analytics Strategy. Apply on NeverHard.
Company
KPMG
Location
Toronto, Ontario
Type
contract
Required skills:
AI Frameworks
AI Strategy
AI/ML Concepts
Advanced Analytics
Analytics Strategy
Analytics Validation
Business Case Creation
Business Intelligence
Client Relationship Management
Collaboration
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.
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
Support the development of AI and advanced analytics strategies, roadmaps, and operating models aligned to client business objectives
Contribute to the identification, assessment, and prioritization of AI and analytics use cases based on value, feasibility, and strategic fit
Assist in designing AI-enabled solutions and conceptual architectures , including defining inputs, outputs, and high-level business logic
Help build business cases and value realization frameworks to support AI investments
Participate in and help facilitate AI ideation workshops to identify and refine opportunities
Develop insights and perspectives on AI technologies and market trends to support client needs
Support the design and documentation of responsible AI frameworks , including governance, risk, and compliance considerations
Collaborate with data and technology teams to align AI initiatives with enterprise data strategies and capabilities
Contribute to establishing trusted and transparent analytics practices , including documentation and governance support
Apply technical and industry knowledge to analyze client challenges and support solution development
Execute components of advisory engagements , including current state assessments, use case design, and future state planning
Support client deliverables, presentations, and stakeholder communications
Contribute to business development efforts , including research, proposal development, and thought leadership
What you bring to the role
Bachelor's degree in Data Science , Computer Science, Business Administration, or a related field (MBA considered an asset)
3-6 years of experience in AI related role
2+ years of experience in consulting or advisory environments
Experience supporting AI use case development, analytics strategy, or business case creation
Solid understanding of AI/ML concepts and lifecycle (data, modeling, deployment, monitoring)
Exposure to current and emerging AI technologies , including familiarity with GenAI (asset)
Ability to translate business problems into data-driven and AI-enabled opportunities with guidance
Strong analytical, problem-solving, and structured thinking skills
Effective communication and storytelling abilities , with experience preparing client-ready materials
Collaborative mindset with a strong interest in innovation and AI-led transformation
Ability to manage multiple workstreams and deliver high-quality outputs in a fast-paced environment
Willingness to travel locally or nationally 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
Our Values, The KPMG Way
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 1-888-466-4778.
AI Usage
Weembrace 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.