Data Manager Salary in United States during 2022
💰 The median Data Manager Salary in United States during 2022 is USD 98,000
✏️ This salary info is based on 6 individual salaries reported during 2022
Salary details
The average Data Manager salary lies between USD 77,300 and USD 134,000 in the United States. 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
- United States
- Salary year
- 2022
- Sample size
- 6
- 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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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: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
In the United States, 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 base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market.
Steps to Increase Salary
To increase your salary from a Data Manager position, consider the following strategies:
- Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies and tools.
- Advanced Education: Pursue advanced degrees or certifications that are relevant to your field.
- Networking: Build a strong professional network to learn about higher-paying opportunities.
- Leadership Roles: Seek leadership or managerial roles that offer higher compensation.
- Industry Shift: Consider moving to industries that pay higher salaries for data management roles, such as finance or tech.
Educational Requirements
Most Data Manager positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Information Technology. However, a master's degree or even a Ph.D. can be advantageous and sometimes necessary for higher-level positions, especially in research-intensive roles or at top-tier companies.
Helpful Certifications
Certifications can enhance your credentials and demonstrate expertise. Some common and beneficial certifications include:
- Certified Data Management Professional (CDMP)
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- AWS Certified Data Analytics – Specialty
- SAS Certified Data Scientist
These certifications can help validate your skills and make you more competitive in the job market.
Required Experience
Typically, a Data Manager role requires 5 to 10 years of experience in data-related positions. This experience should include hands-on work with data analysis, data warehousing, and data governance. Experience in managing teams and projects is also highly valued, as the role often involves overseeing data operations and strategy.
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