AI Business Analyst
- Kitchener, ON
- Hybride
- Publié 17 sept. 2026
- 1 poste
85 000 $–95 000 $ / année
Ouvre un site externe
- Type d’emploi
- Temps plein
- Niveau d’expérience
- Intermédiaire · 3+ ans
- Formation minimale
- Diplôme professionnel
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
Résumé du poste
The AI Business Analyst acts as a bridge between business stakeholders and the AI implementation team to translate business challenges into actionable AI requirements. They are responsible for managing the AI backlog, defining success metrics, and supporting the delivery lifecycle from discovery to user acceptance testing.
Détails du poste
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. 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
Ce que vous ferez
The AI Business Analyst acts as a bridge between business stakeholders and the AI implementation team to translate business challenges into actionable AI requirements. They are responsible for managing the AI backlog, defining success metrics, and supporting the delivery lifecycle from discovery to user acceptance testing.
Exigences
Candidates must have at least 3 years of experience in business analysis or product ownership, ideally within technology or AI initiatives. Strong skills in stakeholder management, requirements gathering, and familiarity with AI concepts and backlog management tools are required.
Avantages
• RRSP program • Professional training and development • Health insurance • Dental insurance • Life insurance • Short-term disability insurance • Long-term disability insurance • Top-tier equipment • Social and team building events • Catered breakfast and lunch • Gym access • Phone allowance • Pet-friendly office
Compétences indiquées
- Technical Documentation · Souhaitée
- Change Management · Souhaitée
- Process Mapping · Souhaitée
- Communication Skills · Souhaitée
- Analyse d’affaires · Souhaitée
- Collecte des exigences · Souhaitée
- Stakeholder Management · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Business analysis
- Stakeholder management
- Requirements gathering
- Generative AI
- Process mapping
- User stories
- Backlog management
- Automation
- Technical documentation
- Change management
- User acceptance testing
- Data engineering collaboration
- AI solution lifecycle
- KPI tracking
- Communication skills
- User Acceptance Testing (UAT)
- Employment Equity
- Business Capability Mapping
- Energetic
- PMI Professional in Business Analysis
- Generative Artificial Intelligence
- Ideation
- Microsoft Copilot Studio
- Process Mapping
- Azure DevOps
- Acceptance Testing
- Artificial Intelligence
- JIRA
- Business Administration
- Management
- Certified Business Analysis Professional
- Change Management
- Computer Science
- Information Technology
- Training And Development
- Certified Scrum Product Owner
- Functional Requirement
- Governance
- Key Performance Indicators (KPIs)
- Scrum (Software Development)
- Heat Maps
- Requirements Elicitation
- Stakeholder Management
- Team Building
- Software Technical Review
- User Story
- Verbal Communication Skills
- Process Improvement
- Balancing (Ledger/Billing)
- Prioritization
Domaines d’emploi
- Technology
- Software
- Data & Analytics
- Consulting
- Management & Leadership
- Business Analyst
- Business Analyst (General)
- Management and Organization Analysts
- Management Analysts
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