Salary for Senior-level / Expert Data Management Specialist in United States during 2024

Salary details

The average senior-level / expert Data Management Specialist salary lies between USD 69,700 and USD 125,338 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 Senior-level / Expert Data Management Specialist roles

The three most common job tag items assiciated with senior-level / expert Data Management Specialist job listings are Data management, Engineering 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 | 56 jobs Engineering | 22 jobs Data quality | 22 jobs Security | 20 jobs SQL | 17 jobs Data governance | 17 jobs Testing | 12 jobs Statistics | 12 jobs ETL | 11 jobs Research | 11 jobs Data Analytics | 10 jobs Architecture | 10 jobs Excel | 10 jobs Computer Science | 10 jobs Privacy | 10 jobs Data analysis | 7 jobs RDBMS | 7 jobs Python | 6 jobs Oracle | 6 jobs Agile | 6 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Management Specialist roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 23 jobs Health care | 19 jobs Flex hours | 11 jobs Salary bonus | 11 jobs Medical leave | 10 jobs Insurance | 10 jobs Parental leave | 9 jobs Team events | 9 jobs Equity / stock options | 8 jobs Competitive pay | 7 jobs Relocation support | 6 jobs Flex vacation | 5 jobs Wellness | 5 jobs 401(k) matching | 4 jobs Startup environment | 4 jobs Gear | 2 jobs Fertility benefits | 2 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Signing bonus | 1 jobs

Salary Composition

In the United States, the salary for a Senior-level or Expert Data Management Specialist typically comprises a base salary, 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. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. For instance, tech companies might offer higher bonuses compared to non-tech industries. Additional remuneration might include stock options, especially in tech startups or large tech firms, and comprehensive benefits packages that include health insurance, retirement plans, and other perks. The composition can also vary by region, with tech hubs like Silicon Valley or New York City offering higher overall compensation compared to other regions due to the higher cost of living and competitive job market.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree or Ph.D. in a related field. Specializing in a niche area of data science or machine learning that is in high demand can also make you more valuable. Networking within industry circles and attending relevant conferences can open up opportunities for higher-paying roles. Additionally, gaining experience in leadership or project management can position you for roles with greater responsibility and higher pay. Exploring opportunities in high-demand industries such as finance, healthcare, or technology, where data management expertise is crucial, can also lead to higher salaries.

Educational Requirements

Most Senior-level 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. However, many employers prefer candidates with a master's degree or higher, especially for expert-level positions. Advanced degrees provide a deeper understanding of complex data systems and analytical techniques, which are crucial for high-level data management roles.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications validate your skills in data management, cloud computing, and data analysis, making you a more competitive candidate.

Required Experience

Typically, a Senior-level Data Management Specialist is expected to have at least 5-10 years of experience in data management, data analysis, or a related field. This experience should include hands-on work with data management systems, data modeling, and data governance. Experience in leading projects or teams, as well as a proven track record of implementing successful data strategies, is often required for expert-level positions.

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