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Quadbridge

AI Business Analyst

Kitchener, ON or Montreal, QC; Quadbridge - KW; Quadbridge - MTLCanada
TIO
POSTED 15 SEPTVERIFIED 1D AGO
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Role
55 days opentrue age
Posted 15 Sept
Pay
CAD 75k–CAD 110kno pay posted
Market p25–p75
CAD 75k–CAD 110k
Canada · n=24 · 365d to 6 Nov
CompanyQuadbridge →
14open roles
Opened · 30d
+0
Closed · 30d
−0
30d window
Market
3,478open · Analytics / Data science
Opened · 7d
+2226% of open
All analytics / data science
7,740open
All tracked boards · live 9 Nov · n=3,478
AzureLLMs

AI Business Analyst

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:

Duties and responsibilities include, but are not limited to, the following:

  • 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.
Source · QuadbridgeFirst seen 7 NovOriginal ↗