Engineering Manager Salary in Canada during 2024

Salary details

The average Engineering Manager salary lies between USD 146,153 and USD 202,000 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: Jan. 12, 2025

Top 20 Job Tags for Engineering Manager roles

The three most common job tag items assiciated with Engineering Manager job listings are Engineering, Machine Learning and Python. 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 | 1152 jobs Machine Learning | 766 jobs Python | 705 jobs Computer Science | 579 jobs Architecture | 502 jobs Security | 417 jobs AWS | 382 jobs Pipelines | 373 jobs Java | 329 jobs Agile | 309 jobs SQL | 298 jobs Research | 278 jobs Testing | 272 jobs GCP | 255 jobs Privacy | 241 jobs Azure | 236 jobs Data pipelines | 223 jobs Spark | 210 jobs ML models | 201 jobs Distributed Systems | 200 jobs

Top 20 Job Perks/Benefits for Engineering Manager roles

The three most common job benefits and perks assiciated with Engineering 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 | 962 jobs Health care | 504 jobs Equity / stock options | 417 jobs Startup environment | 398 jobs Flex hours | 342 jobs Salary bonus | 309 jobs Flex vacation | 267 jobs Parental leave | 258 jobs Competitive pay | 257 jobs Medical leave | 239 jobs Team events | 228 jobs Insurance | 200 jobs 401(k) matching | 130 jobs Wellness | 128 jobs Home office stipend | 100 jobs Unlimited paid time off | 75 jobs Relocation support | 69 jobs Transparency | 66 jobs Gear | 54 jobs Conferences | 45 jobs

Salary Composition

In Canada, the salary composition for an Engineering Manager in AI/ML/Data Science typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the largest portion, ranging from 60% to 80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, profit sharing, or other incentives, can make up the remaining 10% to 20%. The exact composition can vary based on factors like the region (with cities like Toronto and Vancouver offering higher salaries), the industry (tech companies often provide more lucrative packages), and the size of the company (larger companies may offer more comprehensive benefits).

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update your technical and managerial skills. Specializing in emerging AI/ML technologies or methodologies can make you more valuable.
• Networking: Build a strong professional network within the industry. This can open up opportunities for higher-paying roles or consulting gigs.
• Leadership Roles: Aim for higher leadership positions such as Director of Engineering or VP of Engineering, which come with increased responsibilities and compensation.
• Industry Transition: Consider moving to industries that pay higher salaries for AI/ML expertise, such as finance or healthcare.
• Negotiation: Improve your negotiation skills to better advocate for raises or better compensation packages during performance reviews or when switching jobs.

Educational Requirements

Most Engineering Manager roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Engineering, Mathematics, or Data Science. However, a master's degree or even a Ph.D. can be highly beneficial and sometimes preferred, especially for roles in research-intensive companies or those that require a deep understanding of complex algorithms and data structures.

Helpful Certifications

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

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

These certifications can validate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, an Engineering Manager in AI/ML/Data Science is expected to have 5 to 10 years of experience in the field. This includes hands-on experience with AI/ML projects, a solid understanding of data science principles, and proven leadership skills. Experience in managing teams, overseeing project lifecycles, and delivering successful AI/ML solutions is crucial. Additionally, familiarity with industry-standard tools and technologies, such as Python, R, TensorFlow, and cloud platforms, is often required.

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