Senior Business Analyst, Loan Servicing Technology

Bank N.A.; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

Bank of Montreal is seeking a Business Analyst specializing in AI-enabled delivery to bridge business needs with technology solutions across the SDLC. You will collaborate with business stakeholders, product owners, architects, developers, and QA teams to leverage Generative AI and AI-assisted tools to accelerate delivery and improve requirements quality.

The ideal candidate will bring strong business analysis skills, stakeholder management, and hands-on experience with AI technologies across

Qualifications

• Experience in business analysis including elicitation, documentation, and validation.
• Ability to translate business needs into functional/non-functional requirements and user stories.

Responsibilities

• Elicit, analyze, validate, and document business requirements for technology initiatives.
• Translate needs into clear requirements, stories, flows, and acceptance criteria.
• Collaborate with stakeholders to align solutions with objectives and outcomes.
• Conduct current/future-state assessments and identify process optimizations.
• Support UAT, SIT, and end-to-end testing activities.
• Leverage Generative AI to accelerate requirements gathering and documentation.

Skills

Business Analysis

Stakeholder Management

AI Tools

SDLC Knowledge

Job description

Application Deadline: 11/29/2026

Address: 100 King Street West

Job Family Group: Technology

Role Overview

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.

Key Responsibilities

• 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.
• Facilitate workshops, stakeholder interviews, and requirements discovery sessions.
• 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 coninue

Required Capabilities

• 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.
• Facilitate workshops, stakeholder interviews, and requirements discovery sessions.
• 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 coninue