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Head Of Data Jobs in Quebec (NOW HIRING)

Behavox

Head of Finance

Montreal, QC · Hybrid

Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to ...

IATA

Manager Safety Data Analytics

Montreal, QC · On-site

What your day would be like You will report to the Head of Global Aviation Data Management Programs and you will: Lead in the analysis of flight safety and operational performance data to support ...

IATA

Manager Safety Data Analytics

Montreal, QC · On-site

What your day would be like You will report to the Head of Global Aviation Data Management Programs and you will: Lead in the analysis of flight safety and operational performance data to support ...

RTINGS.com

Head of Marketing

Montreal, QC · On-site +1

Join the World's Leading Product Review Company as a Head of Marketing ! This is your opportunity ... You like being hands-on, create processes and analyze data * You have a strong drive, are goal ...

Assembler AI

Head of Sales

Montreal, QC

Deployment takes two weeks, requires no MES integration, and the data compounds with every station ... Collaboration with the Head of Product, who has in-depth experience helping manufacturers achieve ...

Maarut

\n \n \n We are seeking a highly skilled EBX \/ MDM Developer to support the design, development, and optimization of enterprise Master Data Management solutions. The ideal candidate will have strong ...

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All JobsHead Of Data JobsHead Of Data Jobs in Quebec

Head Of Data information

See Quebec salary details

$140.5K

$176.7K

$239.5K

How much do head of data jobs pay per year?

As of Aug 30, 2026, the average yearly pay for head of data in Quebec is $176,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a head of data do?

A Head of Data is responsible for overseeing an organization's data strategy, including data governance, management, analytics, and security. They lead teams that collect, process, and analyze data to support business decision-making and drive growth. This role often involves collaborating with other departments to ensure data is utilized effectively and aligns with the company's objectives. Additionally, the Head of Data may set policies around data quality, compliance, and privacy, ensuring the organization meets regulatory requirements.

How does the head of data typically collaborate with other departments to drive data-driven decision making?

The Head of Data works closely with leaders from various departments—such as product, marketing, and operations—to identify business challenges and opportunities that can be addressed through data insights. They facilitate cross-functional meetings, translate business objectives into data strategies, and ensure that analytics and reporting align with organizational goals. Frequent collaboration also involves educating stakeholders on data literacy and advocating for best practices in data governance, ultimately fostering a culture where data informs key decisions.

What are the key skills and qualifications needed to thrive as a head of data, and why are they important?

To thrive as a Head Of Data, you need deep expertise in data architecture, analytics, and strategy, usually supported by an advanced degree in a quantitative field and experience in data leadership roles. Proficiency with big data platforms (such as Hadoop or Spark), data visualization tools (like Tableau or Power BI), and knowledge of data governance frameworks are essential, with certifications in data management or cloud services (e.g., AWS, Azure) being advantageous. Strong leadership, communication, and stakeholder management skills help drive data initiatives and foster cross-functional collaboration. These skills are crucial for aligning data strategy with business goals, ensuring data quality, and empowering data-driven decision-making across the organization.

What is the difference between Head Of Data vs Data Analyst?

AspectHead Of DataData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's in relevant field; certifications like SQL, Excel, or Tableau beneficial
Work EnvironmentStrategic leadership, overseeing data teams, setting data strategyAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data teams across industriesCommon across industries for data-driven roles

The Head Of Data focuses on leading data strategy and managing data teams, while Data Analysts primarily analyze data and generate insights. Both roles require strong analytical skills, but the Head Of Data has a broader leadership and strategic responsibility.

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

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

What are popular job titles related to Head Of Data jobs in Quebec?

For Head Of Data jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Head Of Data jobs in Quebec look for?

The top searched job categories for Head Of Data jobs in Quebec are:

What cities in Quebec are hiring for Head Of Data jobs?

Cities in Quebec with the most Head Of Data job openings:

Head Of Data jobs near you
Infographic showing various Head Of Data job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $176,687 per year, or $84.9 per hour.

Head of Data Insights and Advanced Analytics

IATA

Montreal, QC • On-site

Full-time

Re-posted 18 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 will  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.

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