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Data And Ai Jobs in Quebec (NOW HIRING)

Air Canada

Product Owner, Data and AI

Dorval, QC · On-site

As a Product owner, Data & AI you will act as a bridge between the stakeholders and the data teams, ensuring that the data products meet the needs and expectations of the end-users as well as Air ...

New

Cogeco

Senior Director, Data & Analytics

Montreal, QC · Hybrid

Chair the Data & AI Governance Committee: Serve as the permanent Chair of the cross-functional Governance Committee, steering enterprise-wide alignment on data policies, evaluating AI use cases for ...

Artefact

Senior, AI & Data Science

Montreal, QC · On-site

About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value ...

Alcoa

Senior AI & Data Scientist

Montreal, QC · Hybrid

About the Role We're looking for a Senior AI & Data Scientist to join our global Enterprise AI & Insight Team within ITAS, reporting to the AI Technical Lead. This is a unique opportunity to apply ...

New

Ubisoft

Senior AI Data Developer

Montreal, QC · On-site

They develop and maintain data pipelines that meet the requirements of predictive models and design AI agents, including those built with Microsoft Copilot Studio, capable of leveraging data securely ...

Intelcom

AI Data Analyst Intern

Montreal, QC · On-site

Collect, clean, and manipulate data from various teams * Conduct in-depth analysis toidentifytrends, patterns, and anomalies * Apply AI and machine learning techniques to develop and evaluate ...

Tecsys Inc.

Data Engineer (DevOps)

Montreal, QC · On-site +1

This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI products on Databricks and AWS. You will own the infrastructure-as-code and delivery pipelines ...

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Data And Ai information

What is a data and AI job?

Data and AI jobs refer to roles that focus on collecting, processing, analyzing, and interpreting large sets of data using artificial intelligence and machine learning techniques. These positions include data scientists, machine learning engineers, data analysts, AI researchers, and related professions. The goal of these jobs is to extract meaningful insights from data, build predictive models, and develop intelligent systems that can automate or enhance decision-making processes in various industries.

What are the key skills and qualifications needed to thrive as a data and AI specialist?

To thrive as a Data and AI Specialist, you need strong analytical skills, a solid background in mathematics or computer science, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data visualization tools, and cloud platforms is typically required, along with relevant certifications such as Microsoft Certified: Azure AI Engineer or Google Professional Data Engineer. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that help in translating complex data insights into actionable business strategies. These skills and qualities are crucial for developing impactful AI solutions, ensuring data-driven decision-making, and driving innovation within organizations.

What are some typical challenges faced by professionals working in data and AI roles, and how can they be addressed?

Professionals in Data and AI roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and addressing biases in AI models. Additionally, staying current with rapidly evolving technologies and tools can be demanding. Collaborating closely with cross-functional teams—including data engineers, business analysts, and stakeholders—helps ensure that solutions are both technically sound and aligned with business goals. Regularly participating in training and industry forums can also aid in keeping skills up to date and overcoming these challenges.

What is the difference between Data And Ai vs Data Analyst?

AspectData And AiData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness environments across industries; focus on analyzing data to inform decisions
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in business intelligence, reporting, and data-driven decision making

Data And Ai professionals focus on creating AI models and algorithms, often requiring advanced programming and machine learning skills. Data Analysts interpret data to generate insights, reports, and support decision-making. While both roles work with data, Data And Ai roles are more technical and development-oriented, whereas Data Analysts focus on analysis and visualization.

What are popular job titles related to Data And Ai jobs in Quebec?

For Data And Ai jobs in Quebec, the most frequently searched job titles are:

Data And Ai jobs near you
Infographic showing various Data And Ai job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Product Owner, Data and AI

Air Canada

Dorval, QC • On-site

Full-time

Posted 2 days ago

New

Job description

Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.

Are you passionate about creating data products that deliver value to the business and the customers? If so, you might be the product owner for data we are looking for!

Reporting to the Manager, Data Product Management, the Product Owner plays a key role in managing the backlog of new and existing data products across Air Canada, specifically for our Loyalty, Marketing, and eCommerce data domains.

As a Product owner, Data & AI you will act as a bridge between the stakeholders and the data teams, ensuring that the data products meet the needs and expectations of the end-users as well as Air Canada’s strategic objectives. You will be working in an agile environment, with frequent feedback and iterations, and using the latest tools and technologies to create data products that are scalable, reliable, and user-friendly.

Responsibilities:

Facilitate and participate in agile sessions to assess and capture requirements as per the stakeholders’ needs and expectations

  • Requirements elicitation.
  • Requirements walkthroughs and workshops.
  • Guide creation of mapping documents that covers business rules, ensures data quality and accuracy.

Act as the bridge between the users/stakeholders and the Delivery team

  • Responsible for maximizing the value delivered by the team by ensuring backlog is aligned with stakeholder needs and product manager vision.
  • Write, present, and refine user stories.
  • Coordinate with the development team to get the stories developed.
  • Day-to-day support in requirements clarifications and business rules (SPOC for the development team for requirements/priorities).
  • Facilitate/Coordinate or execute UAT testing.
  • Take a lead role in the different SCRUM ceremonies.

Qualifications

  • Bachelor’s degree with 3-5 years of Business Analyst or Product Owner experience, including hands-on experience managing all stages of the product life cycle. M.Sc. preferred.
  • Knowledge of BI analytics/concepts and data warehouse platforms.
  • Problem solver who thinks strategically, results oriented and attentive to details.
  • High adaptability and strong critical thinking skills.
  • Familiar with data and analytics analysis tools and delivery technologies:
    • SQL (mandatory)
    • Jira/Confluence (an asset)
    • Snowflake (optional)
    • Databricks (optional)
  • Best practices in user acceptance testing (UAT).
  • Agile methodology experience (CSM/PSM or CPO/PSPO certification is an asset).
  • Excellent communication and listening skills
  • Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.

Conditions of Employment:

Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.

Linguistic Requirements

Based on equal qualifications, preference will be given to bilingual candidates.

Diversity and Inclusion

Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.

As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

Apply