Data Management Specialist Salary in United States during 2024

Salary details

The average Data Management Specialist salary lies between USD 65,820 and USD 116,100 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: Dec. 22, 2024

Top 20 Job Tags for Data Management Specialist roles

The three most common job tag items assiciated with Data Management Specialist job listings are Data management, Excel and Data quality. 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 | 268 jobs Excel | 98 jobs Data quality | 84 jobs Security | 72 jobs Engineering | 68 jobs Research | 63 jobs SQL | 61 jobs Data governance | 50 jobs Statistics | 46 jobs Computer Science | 42 jobs Testing | 41 jobs Finance | 39 jobs Python | 37 jobs Data analysis | 34 jobs Mathematics | 33 jobs Privacy | 30 jobs R | 29 jobs Power BI | 28 jobs Agile | 28 jobs Pharma | 26 jobs

Top 20 Job Perks/Benefits for Data Management Specialist roles

The three most common job benefits and perks assiciated with Data Management Specialist 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 | 116 jobs Health care | 99 jobs Flex hours | 78 jobs Team events | 57 jobs Competitive pay | 50 jobs Salary bonus | 44 jobs Insurance | 41 jobs Medical leave | 39 jobs Equity / stock options | 37 jobs Flex vacation | 34 jobs Parental leave | 32 jobs Startup environment | 27 jobs Relocation support | 23 jobs Wellness | 21 jobs 401(k) matching | 17 jobs Transparency | 11 jobs Flexible spending account | 11 jobs Gear | 7 jobs Fitness / gym | 4 jobs Home office stipend | 4 jobs

Salary Composition

The salary for a Data Management Specialist in the AI/ML/Data Science field typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most significant component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary widely, ranging from 5-20% of the base salary, depending on the company's performance and individual contributions. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can also play a role, especially in larger tech companies or startups. The composition can vary significantly based on the region, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might focus more on bonuses. Industry and company size also influence the package, with larger firms typically offering more comprehensive benefits and smaller companies potentially providing more equity-based compensation.

Steps to Increase Salary

To increase your salary from the Data Management Specialist position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can position you for higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities and trends.
• Performance Excellence: Consistently exceed performance expectations and take on leadership roles in projects to demonstrate your value to the organization.
• Negotiation: When discussing salary, be prepared with market research and a clear understanding of your contributions to negotiate effectively.

Educational Requirements

Most Data Management Specialist roles require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Statistics. Some positions may prefer or require a master's degree, especially for roles with a focus on AI/ML. A strong foundation in mathematics, statistics, and computer programming is essential, as these skills are critical for managing and analyzing data effectively.

Helpful Certifications

Several certifications can enhance your qualifications for a Data Management Specialist role:

• Certified Data Management Professional (CDMP): This certification demonstrates expertise in data management principles and practices.
• Microsoft Certified: Azure Data Scientist Associate: Useful for those working with Azure's data services.
• AWS Certified Data Analytics – Specialty: Beneficial for professionals working with AWS data services.
• Google Professional Data Engineer: Ideal for those using Google Cloud Platform for data management tasks.

These certifications can validate your skills and knowledge, making you a more competitive candidate.

Required Experience

Typically, employers look for candidates with 2-5 years of experience in data management, data analysis, or a related field. Experience with data modeling, database management, and data warehousing is often required. Familiarity with data governance and data quality management practices is also beneficial. Experience in AI/ML projects or environments can be a significant advantage, as it demonstrates your ability to work with complex data systems and contribute to data-driven decision-making.

Related salaries

Want to contribute?