Manager Salary in Canada during 2024

Salary details

The average Manager salary lies between USD 95,000 and USD 171,210 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: Dec. 22, 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 | 8156 jobs Python | 6453 jobs Machine Learning | 6049 jobs SQL | 5530 jobs Computer Science | 5042 jobs Research | 4379 jobs Statistics | 4125 jobs Architecture | 3180 jobs Agile | 3180 jobs Data management | 3064 jobs R | 3053 jobs Security | 2975 jobs Testing | 2873 jobs Data Analytics | 2816 jobs Data analysis | 2602 jobs AWS | 2520 jobs Mathematics | 2463 jobs Privacy | 2445 jobs Excel | 2415 jobs Tableau | 2357 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 Equity / stock options. 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 | 9920 jobs Health care | 5637 jobs Equity / stock options | 3654 jobs Flex hours | 3647 jobs Startup environment | 3411 jobs Competitive pay | 3086 jobs Team events | 2828 jobs Salary bonus | 2636 jobs Insurance | 2305 jobs Flex vacation | 2248 jobs Medical leave | 2112 jobs Parental leave | 2083 jobs Wellness | 1468 jobs 401(k) matching | 1223 jobs Transparency | 689 jobs Home office stipend | 564 jobs Relocation support | 507 jobs Conferences | 493 jobs Unlimited paid time off | 414 jobs Flexible spending account | 405 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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