Intelligent Automation, Business Analyst

KPMG•Toronto, ON

19d•$74,000 - $111,000

About The Position

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. As part of the KPMG Robotic Process Automation (RPA) team, the Intelligent Automation Business Analyst collaborates with internal business teams to assess RPA opportunities and to document process designs for business automation projects. The Analyst also provides support for the team’s development and quality assurance activities, documents change requests, and more. This is an excellent opportunity for a strong self-starter who is able to hit the ground running and who is eager to work in a variety of different areas within the firm. This posting is for an existing vacancy.

Requirements

3 – 5 years of experience as a business systems analyst, preferably in an automation environment
Practical understanding of AI-enabled automation, including agentic workflows, decision automation, and handling of unstructured data
Strong analytical and problem-solving skills
Exceptional documentation skills, including concise requirements and easy-to-follow process flow diagrams
Ability to forge consensus within a group of stakeholders, to deliver a solution that works for all
Knowledge of agile methodology and the software development life cycle (SDLC)
Experience working in a business automation environment
Familiarity with AI/Agent Lifecycle and Risks associated with AI use cases.
Strong experience and knowledge of automation tools, including UiPath, Blue Prism, Power Automate, Abbyy and other OCR solutions, chatbots, Python, etc.
Experience with QA testing, including ability to create test plans, test cases, execute test cycles, etc.
Experience with tools such as Azure DevOps, SharePoint, Office 365, Microsoft Teams, etc.
Exposure to AI-enabled automation tools and concepts, including UiPath Autopilot/AI Center, Copilot Studio, prompt-based workflows, and a foundational understanding of APIs and data integration to support agentic automation use cases.

Responsibilities

Mentor team members and review the quality of team documents, providing guidance and feedback as needed
Monitor deliverable dates, and escalate issues that are causing delays to project timelines
Collaborate with RPA managers and leaders on improvements to methodology, templates, etc.
Participate in special projects, e.g. building or implementing new tools, dashboards, etc.
Assess potential process automation candidates with stakeholders and provide summary documentation outlining the results of these assessments
Organize task mining initiatives and/or process walkthrough sessions to capture details of current process flows
Provide guidance to stakeholders on automation capabilities, including RPA, AI/agentic workflows, and decision automation across platforms such as UiPath and Blue Prism
Document future state process flows, including alternate flows and exceptions
Create and evolve process and solution design artifacts (PDDs, solution workflows, agent interaction flows), including both deterministic and AI-driven decision points
Organize and lead PDD review sessions with stakeholders, ensuring all process details are accurately captured and approved by the business SME
Provide support for automation developers, including clarifying automation requirements, facilitating creation of required environment and permission configurations, etc.
Support QA in testing larger automation initiatives, including review of test plans and facilitation of test data collection and validation; work with developers to lead the QA process for simple automation initiatives.
Participate in pre- and post-deployment activities, e.g. UAT sessions, Go/No-Go meetings, hypercare calls, etc.
Monitor the performance of deployed processes in production and suggest enhancements and improvements
Assist with various operational issues, including troubleshooting production support issues, gathering and documenting change request details, etc.
Assess and define opportunities for AI-driven and agentic automation, including use cases involving unstructured data, decision-making, and multi-step workflows.
Design end-to-end automation solutions incorporating AI capabilities, including human-in-the-loop validation, exception handling, and decision checkpoints.
Collaborate with stakeholders to define data and solution requirements, and support the lifecycle of AI-enabled automations (e.g., use case definition, testing, validation, and ongoing monitoring).