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Data And Ai Jobs in Quebec (NOW HIRING)

Wawanesa Insurance

Senior Architect - Data & AI

Quebec, QC · Hybrid

CA$115K - CA$160K/yr

Job Overview Under moderate supervision, the Senior Architect - Data & AI, will contribute to Wawanesa's success by providing high-level architecture design of Advanced Analytics solutions and ...

Air Canada

Solution Architect Data and AI

Dorval, QC

As a Data & AI Solution Architect, you will provide strategic technical leadership in the design, evolution, and governance of enterprise-wide Artificial Intelligence, Data Engineering, Analytics ...

New

Air Canada

Solution Architect Data and AI

Dorval, QC · On-site

As a Data & AI Solution Architect, you will provide strategic technical leadership in the design, evolution, and governance of enterprise-wide Artificial Intelligence, Data Engineering, Analytics ...

Air Canada

Product Owner, Data and AI

Dorval, QC

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 ...

Air Canada

Product Owner, Data and AI

Montreal, QC

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

Air Canada

Product Owner, Data and AI

Dorval, QC

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 ...

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 ...

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All JobsData And Ai JobsData And Ai Jobs in Quebec

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.

Senior Architect - Data & AI

Wawanesa Insurance

Quebec, QC • Hybrid

CA$115K - CA$160K/yr

Full-time, Part-time

Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Develop and maintain current state architecture models and artifacts across Business, Application, Data, and Technology domains.

  • Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation, and CI/CD, with a focus on modern lakehouse platforms.

  • Provide architectural leadership and guidance throughout solution design and implementation, ensuring alignment with enterprise standards and best practices.

Job description

Job ID: 10251 


Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS. 

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English.
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $115,000 - $160,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Under moderate supervision, the Senior Architect - Data & AI, will contribute to Wawanesa's success by providing high-level architecture design of Advanced Analytics solutions and long-term technology roadmaps to meet business objectives, taking into account the existing architectural landscape including established standards and principles. The Architect drives standards, governance, and reusable patterns to enable spoke teams while ensuring solutions are implemented in alignment with solution architecture design.

Job Responsibilities
  • Develop and maintain current state architecture models and artifacts including the four key domains of architecture: Business, Application, Data, and Technology.
  • Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation, and CI/CD. Experience designing on a modern lakehouse platform (Databricks preferred) using medallion architecture (Bronze/Silver/Gold) with Delta Lake and Unity Catalog governance is a strong asset.
  • Architect the enterprise semantic layer, including federation across BI and AI consumers, to enable consistent, governed metric definitions.
  • Define and maintain hub standards, guardrails, and governance for analytics capabilities.
  • Enable Responsible AI practices (explainability, fairness, compliance) and regulatory compliance for data and AI solutions (privacy, security, auditability).
  • Partner with business and technical teams to embed analytics services into products and workflows.
  • Gather solution architecture requirements from various sources including interviewing business and IT stakeholders, established architecture standards and principles, and reference architecture.
  • Provide architectural leadership and guidance throughout solution design and implementation, ensuring best practices, reuse of components, and alignment with target architecture.
  • Ensure architectural compliance of solutions to enterprise architecture standards and principles.
  • Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, etc.
  • Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, and modern data integration patterns (CDC, managed connectors, data sharing, and cross-cloud consumption).
  • Develop solution architecture roadmaps based on organizational business units objectives and strategies.
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in computer science, in an analytical discipline or equivalent experience.
  • Minimum of 2 to 5 years of Information Services / Information Technology architecture experience.
  • 10 years of experience in full life cycle solution design using object-oriented analysis and design techniques, preferably in a medium-to-large enterprise environment.
  • Ability to influence across and lead changes in a complex enterprise.
  • Experience in comprehensive modeling for applications, services, systems, and data with approaches in component-based, service-oriented, model-driven manner.
  • Expert knowledge and experience with designing and delivering solutions that factor in system performance, usability, quality, cross-system interdependence, scalability and overall cost to develop and maintain.
  • Sound knowledge and experience with design patterns, service-oriented architecture, solution frameworks, technical patterns and technical services.
  • Ability to balance the long-term ("big picture") and short-term implications of individual decisions and drive actions that are consistent with long-term goals.
  • Strong business sense with the ability to translate complex business requirements into technology solutions.
  • Excellent communication, analytical, and problem-solving skills with ability to manage multiple priorities. Ability to lead others to embrace, perform effectively, and adapt quickly to change.
  • Ability to make excellent and well justified decisions in complex and high-pressure situations and coach others in decision making.
  • Knowledge of MLOps tools (MLflow, SageMaker Pipelines, feature stores) is an asset.
  • Knowledge of MLOps tools (MLflow, Databricks Model Serving / Mosaic AI, feature stores) is an asset.
  • Experience with Databricks (Unity Catalog, Delta Lake, medallion architecture) and lakehouse / data-mesh patterns is strongly preferred.
  • Knowledge and experience in the insurance industry is considered an asset.

#LI-JB3 #LI-Hybrid


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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