Director, Quality Assurance - ITS

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 are seeking a highly experienced Quality Assurance Director to support Information Technology Services (ITS) across project delivery, business enablement initiatives and ongoing IT operations. This role is suited for a senior QA professional with 15+ years of experience providing quality leadership across diverse technological environments, ensuring consistent quality outcomes from development through production support.

The position focuses on strengthening QA capabilities internally, improving operational stability, and enabling successful delivery of ITS and business-driven initiatives.

What you will do
Key Responsibilities

• Provide QA leadership across ITS project portfolios, business enablement initiatives, and operational support streams
• Oversee QA activities for Development, UAT and Production environments across multiple technology platforms
• Conduct current-state assessments of QA processes, tools and controls across projects and operations
• Identify quality gaps, risks and inefficiencies and implement practical, sustainable improvements
• Design and maintain QA standards, frameworks, templates, and methodologies to ensure consistency across ITS initiatives
• Define and execute test strategies covering functional, integration, regression, performance and production validation
• Establish release readiness criteria and quality gates for project and business enablement deployments
• Support ITS project lineups by embedding QA practices into technology and business projects from initiation through deployment
• Partner with business and IT stakeholders to ensure quality requirements align with business objectives and operational needs

IT Operations & Incident Support

• Provide QA oversight and guidance to IT operations, including incident validation and production assurance
• Provide QA oversight and guidance to Severity 1 and Severity 2 incident response process improvement and execution. Participate in execution of these processes when required.
• Collaborate with operations and service management teams to improve incident prevention and recovery
• Ensure post-incident lessons learned are incorporated into QA processes, test coverage, and automation suites
• Support continuous improvement initiatives aimed at reducing production defects and operational risk

Automation, AI & Data Quality

• Drive test automation initiatives to improve efficiency, coverage and speed across ITS projects and operational testing
• Identify opportunities to introduce process automation and intelligent testing approaches
• Apply QA practices to data platforms, analytics solutions and AI-enabled systems, including data quality validation and model testing
• Support quality assurance for reporting, dashboards and data pipelines used for business decision-making

Diverse Technology Experience

• Provide QA leadership across a broad range of technologies, including web and mobile applications, APIs, integrations, COTS platforms, cloud services, data platforms and legacy systems
• Support integration-heavy environments involving multiple internal teams and third-party solutions
• Adapt QA approaches to different delivery models, including Agile, DevOps, hybrid, and Waterfall methodologies
• Drive adoption of AI-powered testing, cloud-based device farms and next-gen automation frameworks

What you bring to the role

• 15+ years of progressive experience in Quality Assurance within complex ITS environments
• Proven experience supporting projects, business enablement initiatives and IT operations
• Strong background in production support and incident-driven quality improvement (Sev 1 / Sev 2)
• Demonstrated ability to design and implement QA standards and operating practices at scale
• Experience with test automation, CI/CD pipelines, and modern QA tools
• Exposure to AI, data analytics, and data quality assurance is preferred
• Strong collaboration and communication skills across technical and business teams
• Ability to perform under pressure and to manage multiple priorities with competing demands for resources

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.