Senior Consultant, Governance, Risk and Compliance Services; GRCS Analytics

Position: Senior Consultant, Governance, Risk and Compliance Services (GRCS) Analytics
Overview
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.

KPMG Canada’s Risk Consulting practice applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems for our clients, and has fun doing it.

We have an exciting opportunity for a Senior Consultant, Governance, Risk and Compliance Services (GRCS) Data Analytics to join our team!

What you will do

Focus on supporting our Governance, Risk & Compliance Services practice and work in collaboration with broader KPMG service lines (Risk Services, Deals Advisory, Management Consulting, Audit, Tax and Law) in a cross-functional role to identify, develop and deploy a variety of analytic 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).

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

2+ years of experience in Data Analytics or Data Governance roles

Strong business acumen and communication skills to support client communications (both verbal and written)

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.

Experience with data governance and data management tools including but not limited to Azure Purview, Unity Catalog, 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

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, such as ChatGPT, Microsoft Copilot, Google Gemini, Anthropic’s Claude, Perplexity, etc., to streamline tasks, automate repetitive processes, accelerate data analysis, and reveal deeper insights that would otherwise require significant manual effort.

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…