Data Manager Salary in 2023

Salary details

The average Data Manager salary lies between USD 73,500 and USD 130,000 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 10, 2024

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 Testing. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Data management | 256 jobs Research | 157 jobs Testing | 133 jobs Excel | 105 jobs SQL | 88 jobs Engineering | 87 jobs Statistics | 85 jobs Security | 80 jobs Data quality | 76 jobs Python | 64 jobs Architecture | 63 jobs Data analysis | 60 jobs Computer Science | 59 jobs R | 54 jobs Pharma | 50 jobs GCP | 49 jobs Agile | 47 jobs Oracle | 46 jobs Consulting | 44 jobs Finance | 44 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 Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 234 jobs Health care | 135 jobs Startup environment | 93 jobs Competitive pay | 90 jobs Flex hours | 81 jobs Flex vacation | 54 jobs Team events | 48 jobs Insurance | 41 jobs Equity / stock options | 40 jobs 401(k) matching | 28 jobs Parental leave | 28 jobs Salary bonus | 28 jobs Medical leave | 27 jobs Wellness | 21 jobs Home office stipend | 11 jobs Unlimited paid time off | 11 jobs Travel | 10 jobs Gear | 9 jobs Fitness / gym | 8 jobs Relocation support | 5 jobs

Salary Composition

The salary composition for a Data Manager in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with more substantial bonuses or stock options.

In industries like tech or finance, bonuses can be a significant part of the compensation package, often ranging from 10% to 20% of the base salary. Larger companies might offer more comprehensive benefits and stock options, while smaller startups might provide equity as a more substantial part of the compensation package to attract talent.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing further education, such as a master's degree or Ph.D., can open up higher-paying opportunities.
• Leadership Roles: Transitioning into leadership roles such as a Director of Data Science 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 relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

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, many employers prefer candidates with a master's degree or higher, especially for more senior roles. A strong educational background provides a solid foundation in the technical and analytical skills necessary for the role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Google Professional Data Engineer
• AWS Certified Big Data – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• SAS Certified Data Scientist

These certifications demonstrate your expertise in data management and your ability to work with specific tools and platforms.

Required Experience

Typically, a Data Manager role requires several years of experience in data-related positions. This experience often includes roles such as data analyst, data engineer, or data scientist. Employers usually look for candidates with at least 5-7 years of experience, with a proven track record of managing data projects, leading teams, and implementing data strategies.

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