Data Manager Salary in Canada during 2024

Salary details

The average Data Manager salary lies between USD 72,000 and USD 122,116 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 Data Manager roles

The three most common job tag items assiciated with Data Manager job listings are Data management, Research and Excel. 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:

Data management | 830 jobs Research | 428 jobs Excel | 401 jobs Data quality | 365 jobs SQL | 307 jobs Security | 275 jobs Testing | 271 jobs Statistics | 267 jobs Engineering | 255 jobs Privacy | 205 jobs Data governance | 201 jobs Pharma | 195 jobs Data analysis | 188 jobs Computer Science | 178 jobs SAS | 170 jobs R | 168 jobs CDISC | 167 jobs Python | 166 jobs Power BI | 153 jobs GCP | 140 jobs

Top 20 Job Perks/Benefits for Data Manager roles

The three most common job benefits and perks assiciated with Data 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 | 637 jobs Health care | 393 jobs Flex hours | 304 jobs Team events | 277 jobs Competitive pay | 184 jobs Insurance | 179 jobs Startup environment | 178 jobs Salary bonus | 151 jobs Equity / stock options | 148 jobs Medical leave | 118 jobs Parental leave | 110 jobs Flex vacation | 109 jobs Wellness | 66 jobs 401(k) matching | 60 jobs Conferences | 38 jobs Relocation support | 34 jobs Gear | 26 jobs Travel | 25 jobs Home office stipend | 24 jobs Transparency | 22 jobs

Salary Composition

In Canada, the salary composition for a Data Manager in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can add another 5-10% to the total compensation. Regional differences also play a role; for instance, salaries in major tech hubs like Toronto or Vancouver might be higher compared to other regions.

Increasing Salary

To increase your salary further from a Data Manager position, consider the following steps:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in data science or a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into roles such as Data Director or Chief Data Officer can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining advanced certifications can also justify a salary increase.

Educational Requirements

Most Data Manager roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, statistics, or a related field. However, a master's degree is often preferred and can be a significant advantage. Some positions may also require coursework or experience in business management, as the role often involves overseeing teams and projects.

Helpful Certifications

Several certifications can be beneficial for a Data Manager role:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.
• AWS Certified Big Data – Specialty: Focuses on data analytics and big data solutions on the AWS platform.
• Microsoft Certified: Azure Data Scientist Associate: Validates your skills in applying data science techniques on Azure.

Required Experience

Typically, a Data Manager role requires 5-10 years of experience in data-related positions. This experience should include hands-on work with data analysis, data engineering, and data management. Experience in leading teams and managing projects is also crucial, as the role often involves overseeing data initiatives and ensuring alignment with business goals.

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