Data Management Specialist Salary in Canada during 2024

Salary details

The average Data Management Specialist salary lies between USD 65,000 and USD 81,530 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 Management Specialist roles

The three most common job tag items assiciated with Data Management Specialist job listings are Data management, Excel and Data quality. 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 | 268 jobs Excel | 98 jobs Data quality | 84 jobs Security | 72 jobs Engineering | 68 jobs Research | 63 jobs SQL | 61 jobs Data governance | 50 jobs Statistics | 46 jobs Computer Science | 42 jobs Testing | 41 jobs Finance | 39 jobs Python | 37 jobs Data analysis | 34 jobs Mathematics | 33 jobs Privacy | 30 jobs R | 29 jobs Power BI | 28 jobs Agile | 28 jobs Pharma | 26 jobs

Top 20 Job Perks/Benefits for Data Management Specialist roles

The three most common job benefits and perks assiciated with Data Management Specialist 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 | 116 jobs Health care | 99 jobs Flex hours | 78 jobs Team events | 57 jobs Competitive pay | 50 jobs Salary bonus | 44 jobs Insurance | 41 jobs Medical leave | 39 jobs Equity / stock options | 37 jobs Flex vacation | 34 jobs Parental leave | 32 jobs Startup environment | 27 jobs Relocation support | 23 jobs Wellness | 21 jobs 401(k) matching | 17 jobs Transparency | 11 jobs Flexible spending account | 11 jobs Gear | 7 jobs Fitness / gym | 4 jobs Home office stipend | 4 jobs

Salary Composition

In Canada, the salary composition for a Data Management Specialist in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. This base salary can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Toronto or Vancouver might offer higher base salaries compared to smaller cities. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the annual salary, depending on the company's profitability and individual performance. Additional remuneration might include stock options, especially in tech startups, and benefits such as health insurance, retirement contributions, and professional development allowances.

Steps to Increase Salary

To increase your salary from the position of a Data Management Specialist, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in emerging technologies and tools relevant to AI/ML and data science. Specializing in niche areas like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in data science, computer science, or a related field can open up higher-paying opportunities.
• Leadership Roles: Aim for leadership or managerial roles within your organization, such as a Data Science Manager or Director of Data Management, which typically come with higher salaries.
• Industry Transition: Consider moving to industries that pay higher for data roles, such as finance, healthcare, or tech.
• Networking and Visibility: Attend industry conferences, contribute to open-source projects, and publish your work to increase your visibility and network, which can lead to better job offers.

Educational Requirements

Most Data Management Specialist roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, information technology, or a related field. However, a master's degree is often preferred and can be a significant advantage. Courses in statistics, mathematics, and programming are essential, as they provide the foundational knowledge needed for data analysis and algorithm development.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Management Professional (CDMP): Focuses on data management principles and practices.
• Google Professional Data Engineer: Validates your ability to design, build, and manage data processing systems.
• AWS Certified Big Data – Specialty: Demonstrates your skills in using AWS services for big data solutions.
• Microsoft Certified: Azure Data Scientist Associate: Focuses on implementing and running machine learning workloads on Azure.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data management, data analysis, or a related field. Experience with data modeling, database management, and data warehousing is often required. Familiarity with programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau or Power BI, are also commonly expected.

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