Data Manager Salary in 2022
💰 The median Data Manager Salary in 2022 is USD 98,000
✏️ This salary info is based on 8 individual salaries reported during 2022
Salary details
The average Data Manager salary lies between USD 77,300 and USD 125,976 globally. 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.
- Job title
- Data Manager
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2022
- Sample size
- 8
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
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 Security. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:
Data management | 92 jobs Research | 44 jobs Security | 43 jobs Testing | 36 jobs SQL | 33 jobs Computer Science | 29 jobs Architecture | 28 jobs Engineering | 27 jobs Excel | 27 jobs Python | 22 jobs R | 19 jobs Statistics | 19 jobs Data quality | 19 jobs Consulting | 15 jobs Data analysis | 15 jobs Tableau | 14 jobs Power BI | 14 jobs GCP | 14 jobs Data visualization | 14 jobs Oracle | 11 jobsTop 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 Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:
Career development | 65 jobs Health care | 44 jobs Competitive pay | 39 jobs Startup environment | 31 jobs Flex hours | 27 jobs 401(k) matching | 23 jobs Team events | 21 jobs Flex vacation | 17 jobs Parental leave | 15 jobs Insurance | 12 jobs Wellness | 11 jobs Equity / stock options | 9 jobs Medical leave | 8 jobs Salary bonus | 8 jobs Fitness / gym | 7 jobs Home office stipend | 5 jobs Travel | 2 jobs Conferences | 2 jobs Snacks / Drinks | 2 jobs Fertility benefits | 2 jobsSalary Composition
The salary composition for a Data Manager in AI/ML/Data Science typically includes a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component and varies significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City often offer higher base salaries compared to other regions. Bonuses are usually tied to individual or company performance and can range from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in startups or large tech companies, providing long-term financial benefits.
Increasing Salary
To increase your salary from a Data Manager position, consider pursuing advanced roles such as Senior Data Manager, Director of Data Science, or Chief Data Officer. Gaining expertise in emerging technologies like machine learning, artificial intelligence, and big data analytics can make you more valuable. Networking within industry circles and attending relevant conferences can also open up higher-paying opportunities. Additionally, obtaining advanced certifications or a master's degree in data science or a related field can enhance your qualifications and bargaining power.
Educational Requirements
Most Data Manager positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. However, a master's degree is increasingly preferred, especially for roles in larger organizations or those with a focus on AI/ML. A strong foundation in mathematics, statistics, and programming is essential, as these skills are crucial for managing and analyzing data effectively.
Helpful Certifications
Several certifications can bolster your credentials as a Data Manager. The Certified Data Management Professional (CDMP) is highly regarded in the industry. Other valuable certifications include the Microsoft Certified: Azure Data Scientist Associate, Google Professional Data Engineer, and AWS Certified Big Data – Specialty. These certifications demonstrate your expertise in data management tools and platforms, making you a more attractive candidate for higher-level positions.
Required Experience
Typically, a Data Manager role requires 5-7 years of experience in data management, analysis, or a related field. Experience with data warehousing, data governance, and data quality management is often necessary. Familiarity with data visualization tools, database management systems, and programming languages like SQL, Python, or R is also expected. Leadership experience, such as managing a team of data analysts or scientists, can be a significant advantage.
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