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: Nov. 17, 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 | 724 jobs Research | 377 jobs Excel | 355 jobs Data quality | 322 jobs SQL | 269 jobs Statistics | 241 jobs Security | 235 jobs Testing | 234 jobs Engineering | 220 jobs Data governance | 179 jobs Privacy | 179 jobs Pharma | 171 jobs Computer Science | 159 jobs SAS | 158 jobs Data analysis | 157 jobs CDISC | 153 jobs R | 148 jobs Python | 140 jobs Power BI | 138 jobs GCP | 122 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 | 550 jobs Health care | 339 jobs Flex hours | 264 jobs Team events | 240 jobs Competitive pay | 164 jobs Insurance | 157 jobs Startup environment | 156 jobs Equity / stock options | 130 jobs Salary bonus | 126 jobs Flex vacation | 95 jobs Medical leave | 94 jobs Parental leave | 92 jobs Wellness | 60 jobs 401(k) matching | 56 jobs Conferences | 34 jobs Relocation support | 29 jobs Gear | 24 jobs Home office stipend | 21 jobs Travel | 20 jobs Yoga | 17 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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