Data Manager Salary in 2024

Salary details

The average Data Manager salary lies between USD 68,400 and USD 128,000 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: Jan. 12, 2025

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 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 | 837 jobs Research | 422 jobs Excel | 385 jobs Data quality | 368 jobs SQL | 309 jobs Security | 276 jobs Testing | 273 jobs Statistics | 268 jobs Engineering | 255 jobs Privacy | 208 jobs Data governance | 203 jobs Pharma | 195 jobs Data analysis | 189 jobs Computer Science | 181 jobs R | 171 jobs SAS | 170 jobs CDISC | 168 jobs Python | 167 jobs Power BI | 154 jobs GCP | 142 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 | 636 jobs Health care | 395 jobs Flex hours | 306 jobs Team events | 279 jobs Competitive pay | 187 jobs Insurance | 180 jobs Startup environment | 171 jobs Salary bonus | 152 jobs Equity / stock options | 150 jobs Medical leave | 120 jobs Parental leave | 112 jobs Flex vacation | 111 jobs Wellness | 66 jobs 401(k) matching | 61 jobs Conferences | 39 jobs Relocation support | 35 jobs Gear | 27 jobs Travel | 25 jobs Home office stipend | 24 jobs Transparency | 23 jobs

Salary Composition for a Data Manager in AI/ML/Data Science

The salary composition for a Data Manager in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

Regional differences play a significant role in salary composition. For instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and demand for skilled professionals. Industry also impacts salary; tech and finance sectors often offer higher compensation compared to education or non-profit sectors. Company size can influence salary as well, with larger companies typically offering more comprehensive compensation packages.

Steps to Increase Salary from a Data Manager Position

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. This could involve learning new programming languages, mastering advanced data analytics tools, or gaining expertise in machine learning algorithms.

• Advanced Education: Pursuing further education, such as a master's degree or Ph.D. in data science, computer science, or a related field, can make you more competitive for higher-paying roles.

• Leadership Roles: Aim for leadership positions such as Senior Data Manager or Director of Data Science, which typically come with higher salaries.

• Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.

• Certifications: Obtain relevant certifications that can validate your skills and potentially lead to salary increases.

Educational Requirements for a Data Manager

Most Data Manager positions require at least a bachelor's degree in a related field such as computer science, information technology, data science, or statistics. However, many employers prefer candidates with a master's degree, especially for roles that involve complex data analysis and strategic decision-making. A strong educational background in mathematics, statistics, and computer programming is often essential.

Helpful Certifications for a Data Manager

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications for a Data Manager in AI/ML/Data Science include:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Demonstrates your skills in using Azure's machine learning tools.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Data Analytics – Specialty: Highlights your expertise in using AWS data lakes and analytics services.

Experience Required for a Data Manager Role

Typically, a Data Manager role requires several years of experience in data analysis, data management, or a related field. Employers often look for candidates with 5-7 years of experience, including hands-on experience with data management tools and technologies. Experience in leading data projects, managing teams, and collaborating with cross-functional teams is also highly valued.

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