Manager Salary in Canada during 2024

Salary details

The average Manager salary lies between USD 95,000 and USD 173,000 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Manager roles

The three most common job tag items assiciated with Manager job listings are Engineering, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 7006 jobs Python | 5518 jobs Machine Learning | 5181 jobs SQL | 4791 jobs Computer Science | 4372 jobs Research | 3802 jobs Statistics | 3582 jobs Agile | 2735 jobs Architecture | 2718 jobs Data management | 2642 jobs R | 2629 jobs Security | 2549 jobs Testing | 2439 jobs Data Analytics | 2434 jobs Data analysis | 2246 jobs AWS | 2191 jobs Mathematics | 2162 jobs Excel | 2125 jobs Privacy | 2101 jobs Tableau | 2033 jobs

Top 20 Job Perks/Benefits for Manager roles

The three most common job benefits and perks assiciated with Manager job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 8565 jobs Health care | 4930 jobs Flex hours | 3189 jobs Equity / stock options | 3188 jobs Startup environment | 2967 jobs Competitive pay | 2684 jobs Team events | 2443 jobs Salary bonus | 2265 jobs Insurance | 2012 jobs Flex vacation | 1971 jobs Medical leave | 1813 jobs Parental leave | 1794 jobs Wellness | 1265 jobs 401(k) matching | 1079 jobs Transparency | 576 jobs Home office stipend | 483 jobs Relocation support | 449 jobs Conferences | 436 jobs Unlimited paid time off | 369 jobs Flexible spending account | 356 jobs

Salary Composition

In Canada, the salary composition for a Manager in AI/ML/Data Science typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up about 10-20%. Additional remuneration, such as stock options, health benefits, and retirement contributions, can account for the remaining 5-10%. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech companies in major cities like Toronto or Vancouver might offer higher base salaries and stock options, while smaller companies or those in less competitive regions might focus more on bonuses and benefits.

Increasing Salary

To increase your salary further from a managerial position in AI/ML/Data Science, consider the following steps:

• Specialize in a Niche Area: Developing expertise in a high-demand niche, such as deep learning, natural language processing, or AI ethics, can make you more valuable.
• Pursue Advanced Education: Obtaining a master's degree or Ph.D. in a relevant field can open doors to higher-paying roles.
• Expand Your Network: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Seek Leadership Roles: Transitioning to senior management or executive roles can significantly increase your earning potential.
• Negotiate Effectively: Always negotiate your salary and benefits package when starting a new role or during performance reviews.

Educational Requirements

Most managerial positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles in research-intensive industries or larger companies. Advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for leading AI/ML projects.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate.

Required Experience

Typically, a managerial role in AI/ML/Data Science requires 5-10 years of experience in the field. This experience should include hands-on work with data analysis, machine learning models, and AI systems. Additionally, experience in leading teams, managing projects, and strategic planning is crucial. Employers often look for candidates who have successfully delivered AI/ML projects and have a track record of driving business value through data-driven insights.

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