AI Business Analyst

Quadbridge Inc.; Kitchener; Hybrid; CAD 85,000 - 95,000; Full time

Benefits offered by this job

Catered breakfast and lunch

Gym access

Pet-friendly office

Job summary

Quadbridge Inc. in Canada seeks an AI Business Analyst to bridge business stakeholders and the AI Center of Excellence.

You will gather challenges and translate them into clear AI and automation requirements, then stay engaged with AI Architects, Application Developers, and Data Engineers to ensure what is built solves the business problem. You will own and prioritize the AI/automation backlog, define success metrics with business owners, and support UAT, documentation, and change management.

Qualifications

• Minimum 3 years as a business analyst, product owner, or similar role.
• Strong stakeholder management and ability to translate needs into clear requirements.
• Hands-on familiarity with AI and generative AI concepts.
• Experience with requirements gathering: user stories, process mapping, and facilitated workshops.
• Understanding of AI/automation lifecycles from ideation through deployment.
• Comfortable working with cross-functional technical teams including architects, developers, and data engineers.
• Excellent written and verbal communication for technical and non-technical audiences.
• Experience with backlog management tools (Azure DevOps, Jira).

Responsibilities

• Gather, clarify, and document AI and automation requirements with stakeholders.
• Translate needs into functional requirements, user stories, and acceptance criteria.
• Facilitate discovery workshops and stakeholder interviews to surface AI opportunities.
• Classify candidate use cases and support the AI Center of Excellence's review process.
• Work within the delivery team alongside AI Architects, Developers, and Data Engineers.
• Own and prioritize the AI/automation backlog balancing stakeholder needs and capacity.
• Define and track success metrics with business owners.
• Support UAT, solution documentation, and change management to drive adoption.
• Maintain use-case and agent inventory with ownership and criticality classification.
• Act as a contact for AI Champions bringing forward new use cases.

Skills

Stakeholder management

AI concepts

Requirements gathering

Cross-functional collaboration

Communication

Backlog prioritization

Education

Diploma/degree in Business Administration, IT, CS

CBAP/CSPO/ PMI-PBA certification (asset)

Tools

Azure DevOps

Jira

Microsoft Foundry

Copilot Studio

Job description

Who We Are

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers. With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

Who We Are

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers. With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

We are Quadbridge. See how we’re building tomorrow’s solutions, together.

Role Overview

The AI Business Analyst is the bridge between Quadbridge's business stakeholders and the AI Center of Excellence's solution implementation team. You will work directly with stakeholders across the business to understand their challenges and translate them into clear, actionable AI and automation requirements, then stay engaged through delivery as part of the implementation team — working alongside AI Architects, AI Application Developers, and Data Engineers to make sure what gets built actually solves the business problem.

Key Responsibilities

• Partner with business stakeholders and AI Champions to gather, clarify, and document AI and automation requirements.
• Translate business needs into clear functional requirements, user stories, and acceptance criteria for AI solutions.
• Facilitate discovery workshops, stakeholder interviews, and requirements sessions to surface AI opportunities, informed by Quadbridge's capability heat map.
• Classify candidate use cases against Quadbridge's use-case criticality matrix and support the AI Center of Excellence's technical review process.
• Sit within the AI solution implementation team throughout the delivery lifecycle, working alongside the AI Architect, AI Application Developers, and Data Engineers.
• Own and prioritize the AI/automation backlog for the AI Center of Excellence, balancing stakeholder needs against delivery capacity.
• Define and track success metrics/KPIs for AI solutions in partnership with business owners.
• Support user acceptance testing (UAT), solution documentation, and change management activities to drive adoption.
• Maintain the AI Center of Excellence's use-case and agent inventory, including registered purpose, owner, and criticality classification.
• Act as a point of contact for AI Champions bringing forward new use cases from their business units.

Qualifications

• Minimum 3 years of proven experience as a business analyst, product owner, or similar role, ideally supporting technology or AI/automation initiatives.
• Strong stakeholder management skills, with the ability to translate ambiguous business needs into clear, structured requirements.
• Hands-on familiarity with general AI and generative AI concepts and capabilities.
• Experience with requirements-gathering techniques such as user stories, process mapping, and facilitated workshops.
• Understanding of AI/automation solution lifecycles, from ideation through deployment.
• Comfortable working with cross-functional technical teams, including architects, developers, and data engineers.
• Strong written and verbal communication skills, able to document requirements clearly for both technical and non-technical audiences.
• Experience with backlog management and prioritization tools (e.g., Azure DevOps, Jira).

Nice-to-have

• Familiarity with Microsoft Foundry and/or Copilot Studio.
• Experience with AI governance frameworks or use-case criticality/risk classification.
• Background in process improvement, change management, or business capability mapping.
• Experience supporting client-facing or professional services engagements.

Education & Certifications

• Diploma or degree in Business Administration, Information Technology, Computer Science, or a related field.
• Relevant certifications (e.g., CBAP, CSPO, PMI-PBA) are an asset.

Why Quadbridge

• Invest in Your Future – Benefit from our RRSP program to help you plan ahead
• Grow With Us – Take advantage of ongoing professional training and development opportunities.
• Comprehensive Coverage – A complete health, dental, life, STD and LTD insurance plan
• Top-Tier Equipment – We provide everything you need to do your best work.
• A Vibrant Workplace – Join us for monthly social and team building events.
• Perks You’ll Love – In our Montreal office, enjoy catered breakfast and lunch and a gym.
• Stay Connected – Eligible positions receive a phone allowance to keep you plugged in.
• Bring Your Best Friend – Our offices are pet-friendly!

Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.

Work Schedule

Monday to Friday, 8:30 a.m. to 5 p.m.

Full-time, permanent, Hybrid

Salary Range

$85,000 to $95,000, plus bonus

Application Deadline

Applications reviewed on a rolling basis.

This posting is for a newly created role.

We may use technology, including AI tools, to support aspects of the recruitment process