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

Salary details

The average senior-level / expert Data Management Specialist salary lies between USD 69,700 and USD 116,500 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: 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

The salary for a Senior-level/Expert Data Management Specialist in AI/ML/Data Science 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. In tech-heavy regions like Silicon Valley, bonuses and stock options can form a substantial part of the compensation. In contrast, in regions with a lower cost of living, the base salary might be more dominant. Larger companies or those in high-growth industries often offer more competitive bonus structures and additional perks compared to smaller firms.

Increasing Salary

To increase your salary from this position, consider pursuing leadership roles such as Data Science Manager or Director of Data Science. These roles often come with higher compensation due to increased responsibilities. Additionally, specializing in high-demand areas like machine learning engineering, AI ethics, or big data analytics can make you more valuable. Networking within industry circles, attending conferences, and publishing research can also enhance your visibility and open up higher-paying opportunities. Negotiating your salary based on market research and your contributions to the company can also be effective.

Educational Requirements

Most Senior-level/Expert Data Management Specialist roles require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data analysis and machine learning model development. Advanced degrees provide a deeper understanding of theoretical concepts and practical applications, which are crucial for high-level positions.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can validate your skills and knowledge, making you a more attractive candidate for senior roles.

Required Experience

Typically, a Senior-level/Expert Data Management Specialist is expected to have at least 5-10 years of experience in data science, data management, or a related field. This experience should include hands-on work with data analysis, machine learning models, and data management systems. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

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