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Data Science Manager Jobs in Quebec (NOW HIRING)

... and data management. Data Analyst Role Summary As a Data Analyst, you will support business ... Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ...

Bachelor's degree in data science, engineering, computer science, statistics, or a related field ... Skills in data management, structuring, and ensuring data reliability. * Knowledge of databases and ...

Data Governance Analyst

Quebec, QC ยท On-site +1

CA$126/hr

University degree in computer science, information management, data science, or a related field * 3 to 5 years of experience in data governance or information management * Knowledge of Data Ownership ...

As a credit risk data scientist, you help meet the need for assessing credit risk in the granting ... Balance business needs, risk management, requirements and best practices * Lead or contribute to ...

The AI Product Manager , Innovation will shape and scale AI-powered products that deliver ... Working across business, data science, engineering, architecture, risk, privacy, security, and ...

About the job Do you think like a management consultant, thrive in a startup environment, and can't ... scientists, data engineers, and digital experts are all dedicated to bringing extra value to every ...

In the Data Management sector, you will be part of a multidisciplinary team of 25 passionate AI ... Bachelor's or master's degree in computer science, mathematics, artificial intelligence or a ...

Showing results 21-40

Data Science Manager information

See Quebec salary details

$80.5K

$153K

$207K

How much do data science manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science manager in Quebec is $152,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $183,000.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Quebec?

The most popular types of Data Science jobs in Quebec are:

What job categories do people searching Data Science Manager jobs in Quebec look for?

The top searched job categories for Data Science Manager jobs in Quebec are:

What cities in Quebec are hiring for Data Science Manager jobs?

Cities in Quebec with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $152,976 per year, or $73.5 per hour.

Head of Data Insights and Advanced Analytics

IATA

Montreal, QC โ€ข On-site

Full-time

Re-posted 10 days ago


Job description

About the team you are joining

The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational and capacity KPIs. These include:
Managing Safety and Operations Data Sharing Programs
Supporting OSS lines of business in their data, analytics, reporting and dashboard needs
Developing a coherent approach to data visualization and analysis
Ensuring the availability, reliability, and quality of the data and related dashboards through continuous monitoring
Adhering to data governance policies, quality standards and best practicesText
What your day would be like
Reporting to the Director, OSS Business Systems and Performance, you willย  drive innovation through advanced analytics, data science, and AI. Leading a team of data specialists, you will advance analytical capabilities, oversee data integration and quality across diverse datasets, and deliver value-added solutions that identify emerging safety and security risks, operational trends, and opportunities.

What your day would be like

Lead, inspire, and develop a highperforming team of data specialists, analytics professionals and data scientists.
Set and execute the OSS vision and strategy for data insights and advanced analytics aligned with the corporate guidelines.
Oversee data integration across internal and external sources, ensuring scalable, reliable, and timely data pipelines for GADM and OSS
Shape and execute a data strategy that transforms complex industry data into actionable insights, enabling better decisions and measurable outcomes.
Partner closely with internal and external stakeholders to translate strategic priorities into analytical use cases, models, and insights.
Build collaborative relationships with IT technology peers to ensure solutions alignment with the enterprise architecture principles and technological building blocks.
Establish and enforce data quality, governance, and metadata processes to ensure trusted, accurate, and businessready data.
Define and track KPIs and outcomes to measure the impact, effectiveness, and ROI of analytics and AI initiatives.
Promote a datadriven culture by enabling selfservice analytics, upskilling teams, and improving data literacy across the organization.
Continuously evolve data and analytics capabilities by evaluating emerging technologies, techniques, and best practices and champion the adoption of modern analytics platforms, cloud technologies, and AI/ML capabilities in collaboration with IT peers.
Ensure responsible and ethical use of data and AI, including compliance with regulatory, privacy, and security requirements.