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Ai Transformation Jobs in Quebec (NOW HIRING)

$190 - $280/hr

Report to the CEO on AI transformation progress; own the AI KPI scorecard 2. AI-Enabled Products & Services * Collaborate with CTO and Delivery Leaders to identify and build net-new AI-enabled ...

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Lead major transformation initiatives, including designing and delivering AI-based solutions. * Define and deliver the strategic vision for the transformation of contact centres by integrating ...

As part of G+D's global AI transformation, the Senior Data Scientist will collaborate closely with AI Engineers, ML Engineers, Data Engineers, product and project managers, and executive stakeholders ...

More at Position Overview Sagard is building an AI-first alternative asset manager: by redesigning how the firm invests, raises capital, and operates from first principles. That transformation ...

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We are seeking a Manager, Transformation Delivery to lead our low-code solution delivery team and ... Strong understanding of Microsoft Power Platform and Generative AI, with practical experience ...

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Ai Transformation information

What is the difference between Ai Transformation vs Data Scientist?

AspectAi TransformationData Scientist
Required CredentialsTypically requires degrees in computer science, AI, or related fields; certifications in AI and machine learningRequires degrees in statistics, computer science, or related fields; certifications in data analysis and machine learning
Work EnvironmentOften within corporate or consulting settings focusing on AI strategy and implementationPrimarily in data analysis, modeling, and research environments across various industries
Employer & Industry UsageUsed by organizations implementing AI solutions to transform business processesEmployed by companies analyzing data to derive insights and inform decisions

While both roles involve AI and data skills, Ai Transformation focuses on leading AI strategy and integrating AI solutions into business processes, whereas Data Scientists analyze data to generate insights and build models. Understanding these differences helps organizations assign the right talent for their AI initiatives.

What job categories do people searching Ai Transformation jobs in Quebec look for? The top searched job categories for Ai Transformation jobs in Quebec are:
Infographic showing various Ai Transformation job openings in Quebec as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.

Senior Business Analyst - AI Transformation

Tech Talent International

Montreal, QC • Hybrid

CA$80 - CA$100/hr

Full-time

Posted 20 days ago


Job description

Tech Talent International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe.

We currently have a role as a Senior Business Analyst - AI Transformation with our large consulting client on a long term project with a major financial services client in the Montreal area.


Role: Senior Business Analyst - AI Transformation

Type: Contract 37.5 hrs/week

Duration: 12 months to start + extension

Rate: $80-100/hr (depending on experience) C2C

Location: Hybrid - Montreal, QC - 3 days remote, 2 days in office ( up to 4 days during key project phases)

Language Requirements: English and French

Senior Business Analyst - AI Transformation1. Organizational Context

As part of its digital transformation, our organization is implementing the Scaled Agile Framework (SAFe) to accelerate value delivery, improve strategic alignment, and strengthen execution capabilities.

This transformation is taking place in a rapidly evolving environment characterized by:

  • Ongoing organizational change
  • Modernization of systems, business processes, and ways of working
  • Progressive integration of Artificial Intelligence (AI) solutions
  • Increasing Agile maturity

We are seeking a Senior Business Analyst - AI Transformation who can thrive in a fast-paced, dynamic, complex, and sometimes ambiguous environment.

The successful candidate must be able to deliver under aggressive timelines while managing frequent changes in priorities and project scope.

2. Assignment Objective

As a Business Analyst, the consultant will be responsible for identifying, analyzing, and defining business needs arising from business challenges and opportunities that impact the organization's strategic objectives.

Working closely with initiative leaders and business subject matter experts, the consultant will:

  • Help stakeholders understand business challenges
  • Define the desired business value
  • Guide initiatives before solution identification and design

The consultant will primarily work during the pre-project/discovery phase, ensuring that business needs are clearly understood, documented, and aligned with the organization's strategic objectives.

The role operates within a SAFe and Agile environment and contributes to maintaining a consistent and structured business analysis practice.

3. Key Responsibilities3.1 Business Analysis & Delivery
  • Gather, analyze, and document business requirements.
  • Ensure consistency and traceability of business requirements.
  • Collaborate with IT, Product, and Business teams.
  • Participate in Agile ceremonies.
3.2 SAFe Framework Contribution
  • Participate in Program Increment (PI) Planning and Agile Release Train (ART) activities.
  • Support Lean-Agile principles and practices.
3.3 Managing Multiple Initiatives
  • Manage multiple initiatives simultaneously.
  • Act in a "firefighter" capacity when urgent issues arise, responding quickly to resolve critical situations.
  • Maintain high-quality deliverables despite shifting priorities and tight delivery timelines.
3.4 Change Management
  • Operate effectively within a transformational environment.
  • Support the adoption of new processes and ways of working.
  • Act as a facilitator with business stakeholders and project teams.
3.5 Leadership & Collaboration
  • Demonstrate positive, needs-focused leadership through influence rather than authority.
  • Foster alignment and collaboration across cross-functional teams.

4. Desired Profile4.1 Core Competencies
  • Strong analytical and problem-solving skills.
  • Excellent ability to synthesize complex information.
  • Leadership and influencing skills.
  • Ability to work effectively in ambiguous environments.
  • Strong prioritization and multitasking abilities.
  • Excellent verbal and written communication skills.
  • Significant experience supporting digital transformation initiatives.
  • Consulting experience within large, complex organizations.
4.2 Required KnowledgeMandatory
  • Agile methodologies (Scrum, Kanban)
  • SAFe (Scaled Agile Framework)
  • Knowledge of Artificial Intelligence (AI)
Nice to Have
  • Agile tools such as Jira and Azure DevOps
  • Understanding of enterprise information systems