Senior Consultant - AI Governance

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.

Are you a talented individual with a proven track record on executing project deliverables.

We are seeking a highl y skilled and experienced AI Governance and Risk Management Senior Consultant to join our Information Technology Risk Services team. The ideal candidate will have a deep understanding of AI technologies, governance frameworks, and risk management practices. This role will involve advising clients on best practices for AI governance, developing risk management strategies, and ensuring compliance with relevant regulations and ethical standards.

What you will do
You'll have the opportunity to work across geographies and industries to take on challenging and groundbreaking projects. From analyzing and assessing business processes to improving client performance, you'll be building strong relationships with our people and developing professional skills that will help set you up for success.

• Support our Risk Consulting teams (Governance, Risk & Compliance Services, Technology Risk Services, Cyber, Forensics, Financial Risk Management) and work in collaboration with other KPMG service lines (Lighthouse, Deal Advisory, Management Consulting, Audit, Tax) in a cross-functional role to identify, develop and deploy a variety of AI governance and risk management solutions.
• Work closely with clients, regulators, and other stakeholders to understand key business issues.
• Utilize advanced analytical techniques and your understanding of AI governance, data governance and data management to solve challenging business problems.
• Leverage a diverse set of technologies and tools to deliver insights. Work with large volumes of data (structured and unstructured).
• Help clients set-up AI governance practices, review existing AI maturity and risk management practices and advise clients on best practices to manage and monitor AI solutions.
• Gather and analyze business requirements, perform relevant analyses, and interpret results to develop impactful recommendations and solutions.
• Assist with the development of analytical procedures and templates that can be deployed to others to increase the capabilities of the wider team.
• Assist with the design and conduct training and information sessions with KPMG practitioners from across the firm.
• Assist with drafting professional reports and other client deliverables, such as interactive dashboards, presentation materials and demos, findings and recommendations, summaries of analytical results and insights, etc.
• Establish credibility and develop relationships with current and prospective clients.
• Provide support/assistance for identification of business opportunities, development of proposals, and prospective client presentations.
• Support client workshops to analyze current state operating models, architecture and analytics functions and co-develop and aspirational future state of data and analytics

What you bring to the role

• Bachelor's degree in computer science with a specific focus on artificial intelligence and machine learning. Master's degree preferred in Management of AI technologies.
• Minimum of 3 years of experience in AI governance, risk management, or a related field.
• Strong understanding of AI technologies, data privacy regulations (e.g., GDPR, CCPA), and ethical considerations in AI.
• Strong understanding of the latest AI regulations and frameworks.
• Proficiency in data analysis tools and programming languages such as Python, R, or SQL to analyze AI model performance and risk metrics.
• Understanding of machine learning algorithms and their implications for risk, including supervised and unsupervised learning, neural networks, and natural language processing.
• Skills in using monitoring tools and dashboards (e.g., TensorBoard, MLflow) to track AI model performance and identify anomalies.
• Understanding of ethical considerations in AI, including bias detection and mitigation techniques, fairness assessments, and transparency measures.
• Basic knowledge of cybersecurity principles to assess risks related to data breaches and model vulnerabilities.
• Proven experience in developing governance frameworks and risk management strategies.
• Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
• Thriving on challenges and work best in a fast-paced environment where each day is different.
• Working well in a project team environment and have strong collaboration and interpersonal skills.
• Ability to explain data and analytics concepts to non-technical team members.
• Ability to apply data and analytics concepts to business problems.
• Ability to understand and explain business value of data and analytics concepts, including data governance and management fundamentals.
• Knowledge of basic machine learning to collaborate with the team on ML projects.
• Experience in visual exploration to perform data discovery and highlight insights.
• Knowledge of how specific visual components drive usability and understanding.
• A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems.

KPMG Ontario Region Pay Range Information
The expected base salary range for this position is $69000 to $97000 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.