Manager, Scientific Research & Experimental Development (SR&ED) - Tax Incentives Practice | 18 month contract

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.

Canada's Scientific Research and Experimental Development (SR&ED) program is one of the country's largest tax incentive programs, designed to support research and development activities and foster technological innovation. With a history spanning more than 50 years, the program continues to play a critical role in strengthening Canada's innovation ecosystem.

KPMG's Tax Incentives Practice (TIP) is a multidisciplinary team of engineers and accountants that helps clients access tax savings through incentive programs such as SR&ED. The practice works with organizations across a wide range of industries and technologies. We partner with engineering and R&D teams to turn real experimental development into clear, defensible claims. As the complexity of software, systems, and multidisciplinary engineering work continues to rise, we are looking for a Manager with strong technical depth and a passion for understanding complex technologies.

This is an opportunity for someone who enjoys moving beyond high-level project summaries and standard descriptions of technological uncertainty. We are looking for an individual who is genuinely curious about how things work, enjoys collaborating with engineers, reconstructing experimental development efforts, understanding architecture, and writing narratives that accurately reflect the underlying scientific and engineering work.

What you will do

• Lead SR&ED engagements for software, systems, and technology organizations, with a focus on producing high-quality technical documentation.
• Work directly with CTOs, principal engineers, and R&D leads to identify and document experimental development activities, including technological uncertainties, investigations, outcomes, and learnings.
• Review and enhance technical narratives to ensure they clearly articulate technological uncertainty, systematic investigation, and advancement.
• Coach team members on technical interviewing techniques, identifying meaningful technical details, reconstructing experimental work, and developing strong technical documentation.
• Advise clients on the eligibility of complex work involving architecture, integrations, algorithms, data systems, and multidisciplinary engineering challenges.
• Build trusted relationships with technical stakeholders through thoughtful collaboration and technical credibility.
• Stay current on both SR&ED policy and emerging technical domains so advice remains relevant and grounded in practical experience.

What you bring to the role

• A degree in Computer Science, Software Engineering, or a closely related technical field.
• Hands-on experience building software with AI coding agents and tools (Claude Code, Cursor, GitHub Copilot, Codex, MCP, custom skills/subagents, automation agents, and multi-agent workflows) beyond prompt writing, combined with strong system-level technical fluency to understand and evaluate architectures, technology stacks, and design decisions as explained by CTOs and development teams.
• Strong intellectual curiosity about engineering, science, and how complex systems behave under uncertainty, with an interest in understanding both successes and challenges encountered during development.
• The ability and patience to translate complex technical work into clear, precise, and defensible written narratives.
• Experience with SR&ED or similar innovation incentive programs is preferred, but not required for candidates who bring strong technical depth and a demonstrated commitment to rigorous documentation.
• Comfort leading client discussions with senior engineering leaders and supporting the development of junior team members.
• The ability to manage multiple engagements while maintaining a high standard of technical quality and depth.

KPMG Ontario Region Pay Range Information
The expected base salary range for this position is $95,000 to $143,000 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.