Intelligent Automation, Business Analyst

Toronto, ON Vaughan, ON
74.000-111.000 $ par an
Permanent
Temps-plein

Il y a 7 heures

Job Description:OverviewAt 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 Analystcollaborates 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.What you will do

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).

What you bring to the role

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.

KPMG Ontario Region Pay Range InformationThe expected base salary range for this position is $74,000 to $111,000 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 bestOur Values, The KPMG WayIntegrity, 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 mattersKPMG 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 processAt 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 UsageWe embrace 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.

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