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.