Salary for Mid-level / Intermediate Manager in Canada during 2024

Salary details

The average mid-level / intermediate Manager salary lies between USD 92,307 and USD 159,000 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. 10, 2024

Top 20 Job Tags for Mid-level / Intermediate Manager roles

The three most common job tag items assiciated with mid-level / intermediate Manager job listings are Engineering, Python and SQL. 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 | 3435 jobs Python | 2943 jobs SQL | 2631 jobs Machine Learning | 2414 jobs Computer Science | 2104 jobs Research | 1937 jobs Statistics | 1904 jobs Data management | 1431 jobs R | 1422 jobs Agile | 1315 jobs Data analysis | 1277 jobs Security | 1261 jobs Data Analytics | 1252 jobs Architecture | 1245 jobs Excel | 1213 jobs Testing | 1207 jobs Tableau | 1155 jobs Mathematics | 1106 jobs Power BI | 1056 jobs Finance | 1048 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 4385 jobs Health care | 2537 jobs Flex hours | 1684 jobs Equity / stock options | 1611 jobs Startup environment | 1535 jobs Competitive pay | 1301 jobs Team events | 1276 jobs Salary bonus | 1103 jobs Flex vacation | 1023 jobs Insurance | 1006 jobs Parental leave | 923 jobs Medical leave | 816 jobs Wellness | 611 jobs 401(k) matching | 523 jobs Transparency | 275 jobs Home office stipend | 247 jobs Conferences | 239 jobs Relocation support | 235 jobs Unlimited paid time off | 193 jobs Gear | 172 jobs

Salary Composition

In Canada, the salary composition for a mid-level/intermediate 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 often constitutes the largest portion, ranging from 70% to 85% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually account for 10% to 20%. Additional remuneration, such as stock options, profit-sharing, or other benefits, might make up the remaining 5% to 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 from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills and stay abreast of the latest trends in AI/ML. Specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Development: Strengthen your leadership and management skills. Taking on more responsibilities or leading larger teams can position you for higher-paying roles.
• Networking: Build a strong professional network within the industry. Attend conferences, join professional groups, and engage with thought leaders to open up new opportunities.
• Advanced Education: Pursue further education, such as an MBA or a specialized master's degree, to enhance your qualifications and appeal for higher-level positions.

Educational Requirements

Most mid-level AI/ML/Data Science management positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, a master's degree is often preferred and can be a significant advantage. Degrees that combine technical expertise with business acumen, such as a Master of Business Analytics or a Master of Data Science, are particularly valued.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

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

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-level positions.

Required Experience

Typically, a mid-level manager in AI/ML/Data Science is expected to have 5 to 10 years of relevant experience. This experience should include hands-on work with data science projects, team leadership, and a proven track record of delivering successful AI/ML solutions. Experience in managing cross-functional teams and collaborating with stakeholders from different departments is also highly valued.

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