Data Manager Salary in United States during 2023

Salary details

The average Data Manager salary lies between USD 80,000 and USD 132,300 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.

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: Nov. 17, 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

In the United States, 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 profit-sharing. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can range from 10-20%, depending on individual and company performance. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5-10% of the total package.

Regional differences can significantly impact salary composition. For instance, Data Managers in tech hubs like San Francisco or New York may receive higher base salaries and more substantial stock options due to the competitive job market. Industry also plays a role; those working in finance or healthcare might see different bonus structures compared to those in tech. Company size can influence the availability of stock options, with larger companies often providing more comprehensive benefits packages.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and data management tools. Specializing in high-demand areas like deep learning or big data analytics can make you more valuable.

• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-level positions and salary brackets.

• Leadership Roles: Transitioning into roles with more responsibility, 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.

• Negotiation: Don't underestimate the power of negotiation. When offered a new position or during performance reviews, be prepared to negotiate for a better salary package.

Educational Requirements

Most Data Manager positions 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 is increasingly preferred, especially for roles in larger companies or more competitive markets. Advanced degrees provide a deeper understanding of complex data systems and analytical techniques, which are crucial for managing data-driven projects effectively.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications for a Data Manager role include:

• Certified Data Management Professional (CDMP): This certification covers data management principles and practices, making it highly relevant for data managers.

• AWS Certified Big Data – Specialty: Useful for those working with cloud-based data solutions, particularly in companies using Amazon Web Services.

• Google Professional Data Engineer: This certification is beneficial for those involved in designing and managing data processing systems on Google Cloud Platform.

• Microsoft Certified: Azure Data Scientist Associate: Ideal for professionals working with data solutions on Microsoft Azure.

Experience Requirements

Typically, a Data Manager role requires 5-10 years of experience in data-related positions. This experience should include hands-on work with data analysis, database management, and data warehousing. Experience in leading data projects and managing teams is also highly valued. Familiarity with AI/ML tools and frameworks, as well as experience in specific industries, can be advantageous.

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