Senior Business Analyst, Loan Servicing Technology - Montréal
Technology
As a Business Analyst, with a focus on AI-Enabled Delivery at BMO, you will play a critical role in bridging business needs, technology solutions, and emerging Artificial Intelligence (AI) capabilities. Working closely with business stakeholders, technology teams, product owners, architects, developers, and quality engineering teams, you will leverage both traditional business analysis practices and AI-powered tools to accelerate delivery, improve decision-making, enhance requirements quality, and optimize business outcomes.
This role extends beyond traditional business analysis by incorporating Generative AI (Gen AI) and AI-assisted delivery practices throughout the Software Development Life Cycle (SDLC). You will utilize AI to support requirements elicitation, process analysis, documentation creation, impact assessments, test case generation, knowledge management, user story development, solution validation, and delivery acceleration while ensuring responsible and secure AI usage.
The ideal candidate possesses strong business analysis skills, stakeholder management capabilities, and hands-on experience utilizing AI technologies and AI-assisted tools across multiple SDLC phases.
Business Analysis & Solution Delivery
Elicit, analyze, validate, and document business requirements to support strategic technology initiatives.
Translate business needs into clear functional and non-functional requirements, user stories, process flows, and acceptance criteria.
Collaborate with business and technology stakeholders to ensure solutions align with business objectives and expected outcomes.
Conduct current-state and future-state assessments and identify opportunities for business process optimization.
Perform gap analysis, impact assessments, root cause analysis, and feasibility studies.
Support teams throughout the delivery lifecycle, ensuring requirements remain aligned with evolving business priorities.
Build and maintain project artifacts including business requirements documents, user stories, workflow diagrams, process maps, and operational procedures.
Support User Acceptance Testing (UAT), System Integration Testing (SIT), and End-to-End testing activities.
AI-Enabled Business Analysis
Leverage Generative AI tools to accelerate requirements gathering, analysis, documentation, and stakeholder communications.
Utilize AI-assisted platforms such as Microsoft Copilot or equivalent enterprise AI tools.
Apply prompt engineering techniques to improve quality, consistency, and completeness of business analysis deliverables.
Partner with delivery teams to identify opportunities for AI-driven process improvements and business efficiencies.
Evaluate AI-generated outputs for accuracy, compliance, traceability, security, and business relevance before adoption.
Contribute to AI-enabled delivery practices and continuous improvement initiatives across the organization.
Support AI adoption by educating stakeholders on practical business use cases and responsible AI practices.
Business Analysis & Solution Delivery
Elicit, analyze, validate, and document business requirements to support strategic technology initiatives.
Translate business needs into clear functional and non-functional requirements, user stories, process flows, and acceptance criteria.
Collaborate with business and technology stakeholders to ensure solutions align with business objectives and expected outcomes.
Conduct current-state and future-state assessments and identify opportunities for business process optimization.
Perform gap analysis, impact assessments, root cause analysis, and feasibility studies.
Support teams throughout the delivery lifecycle, ensuring requirements remain aligned with evolving business priorities.
Build and maintain project artifacts including business requirements documents, user stories, workflow diagrams, process maps, and operational procedures.
Support User Acceptance Testing (UAT), System Integration Testing (SIT), and End-to-End testing activities.
AI-Enabled Business Analysis
Leverage Generative AI tools to accelerate requirements gathering, analysis, documentation, and stakeholder communications.
Utilize AI-assisted platforms such as Microsoft Copilot or equivalent enterprise AI tools.
Apply prompt engineering techniques to improve quality, consistency, and completeness of business analysis deliverables.
Partner with delivery teams to identify opportunities for AI-driven process improvements and business efficiencies.
Evaluate AI-generated outputs for accuracy, compliance, traceability, security, and business relevance before adoption.
Contribute to AI-enabled delivery practices and continuous improvement initiatives across the organization.
Support AI adoption by educating stakeholders on practical business use cases and responsible AI practices.
4-6 years of Business Analysis experience in financial services, technology, or large enterprise environments.
Minimum 2-3 years of practical experience using AI-enabled solutions and Generative AI tools in business analysis or delivery roles.
Experience supporting Waterfall, Agile, or Hybrid delivery methodologies.
Strong understanding of the Software Development Life Cycle (SDLC) and Product Development Life Cycle (PDLC).
System architecture concepts & data flow mapping
Understanding of core AWS services (EC2, S3, RDS, Lambda, VPC)
Experience working with cross-functional teams including Product Owners, Architects, Developers, QA teams, and business stakeholders.
Proven track record of requirements management, stakeholder engagement, process analysis, and solution delivery.
Post-secondary degree in Business, Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience.
Technical Skills
Business Analysis
Requirements Elicitation & Analysis
Impact Analysis
Business Process Reengineering
Stakeholder Analysis & Management
Business Architecture Frameworks
UAT Coordination & Support
Data & Reporting
Data Analysis
SQL and Data Querying (preferred)
Dashboard & Reporting Tools (Power BI preferred)
Data Visualization & Insights Development
Data-Driven Decision Making
AI & Digital Enablement
Microsoft 365 Copilot or equivalent enterprise AI tools.
AI-Assisted Documentation & Analysis
AI-Powered Testing & Quality Practices
AI Productivity & Automation Tools
Waterfall, Agile, & Hybrid Delivery & Development
Process Optimization & Continuous Improvement
Hybrid - 2-3 days per week in office
Salaries for part-time roles will be pro-rated based on number of hours regularly worked. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
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