Manager Risk Services Data and Analytics

Overview
You've got big plans. We have opportunities to match, and we're committed to empowering you to become a better you, no matter what you do.

When you join KPMG, you'll be one of over 200,000 professionals providing audit, tax, advisory and business enablement services across 154 countries.

At KPMG in Canada, we believe our differences make us stronger. When you join the team, you'll be part of a diverse group of professionals with a common goal - making an impact and driving innovation. In a culture that fosters inclusion and encourages flexibility, you'll receive the tools and guidance to grow your skills and achieve success your way.

What you will do
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. As a Manager, you'll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve complex business issues from strategy to implementation.

• Support and perform in-depth data analysis to identify areas of risk, opportunities and recommend solutions for our clients.

• Work closely with clients, regulators, and other stakeholders to understand key business issues.

• Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models.

• Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members.

• Develop and review data governance and data management policies, data quality rules and data lineage. Configure data governance policies into data management tools utilized by our clients.

• Develop and utilize technical and industry knowledge to resolve complex client challenges and consult on leading practice solutions.

• 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.

• Support business development by delivering thought leadership directly to clients, building assets and accelerators, and assisting in the creation of successful proposals.

• Utilize your understanding of modern AI tools, AI monitoring solutions, data governance and management to solve challenging business problems.

• 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.

• Lead project workstreams and activities, providing coaching to other Consultants in areas of expertise.

What you bring to the role
• 5+ years of experience in Data Analytics or Data Governance roles, and 2+ years of leading teams/projects, ideally within a services/consulting organization.

• Fluent or working proficiency language skills in both French and English

• Certificate, diploma or degree in a relevant field from a recognized Canadian post-secondary institution, or an acceptable combination of education, training and experience within fields related to Data Analytics (including Artificial Intelligence, Data Science, Computer Science, Computer Engineering, etc.) or related to the Canadian Public Sector (Political Science, Public Policy and Administration, Digital Government, etc.)

• Independent ability to review data quality and data definitions and perform data cleansing and data management tasks.

• Experience utilizing generative AI tools for personal and work productivity, such as ChatGPT, Microsoft Copilot, Google Gemini, Perplexity, etc.

• Experience developing presentations and client-facing reports to support project activities and synthesize findings from work performed into a cohesive final deliverable. Specific experience related to delivering presentations within a Public Sector industry context is preferred.

• Experience leading the facilitation of client-facing workshop sessions supporting current state assessments, definition of a target future state and/or identification of analytics use cases. Specific experience related to facilitating sessions within a Public Sector industry context is preferred.

• Experience reviewing data governance and management documentation, including but not limited to policies, procedures, roles, responsibilities and platforms.

• Experience with data governance and data management tools and platforms, including but not limited to Azure Purview, Databricks Unity Catalog, Snowflake, Informatica, Collibra, Alation or IBM Infosphere.

• Working knowledge in the various data management frameworks & regulations such as DAMA-DMBOK, EDM-DCAM, BCBS-239 or ISO 8000-1.

• Experience in reviewing database schemas and relationships, data dictionaries and definitions, and assessing these and their underlying datasets for data quality and relevance to business objectives.

• Experience or knowledge in one major cloud service: MS Azure (preferred), AWS, and GCP, including familiarity with cloud platform data architecture models and relevant tools for scalability, repeatability and performance to support overall solution and full-scope architecture design and build for our clients.

• Experience manipulating, processing and extracting values from large data sets using data transformation tools, including but not limited to Python, Power Query, Alteryx or Knime.

• Experience with data visualization tools including but not limited to Tableau, Power BI, Databricks or Qlik.

• Proven experience collaborating within multi-disciplinary teams to address challenges related to unstructured data processing across various industries.

• Ability to utilize data and analytics principles to address business challenges and to explain business value of data and analytics concepts, including data governance and management fundamentals.

• Superior communication skills, both written and verbal, with the ability to articulate technical concepts and their implications to stakeholders at all levels.

• Effectively use generative AI tools to streamline tasks, automate repetitive processes, accelerate data analysis, and reveal deeper insights that would otherwise require significant manual effort

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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.