Salary for Mid-level / Intermediate Data Manager during 2023

Salary details

The average mid-level / intermediate Data Manager salary lies between USD 73,500 and USD 115,500 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: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Manager roles

The three most common job tag items assiciated with mid-level / intermediate Data Manager job listings are Data management, Research and Statistics. 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 | 78 jobs Research | 65 jobs Statistics | 42 jobs Testing | 41 jobs Data quality | 37 jobs Engineering | 30 jobs GCP | 30 jobs Pharma | 30 jobs Consulting | 28 jobs SQL | 26 jobs Excel | 23 jobs Python | 20 jobs Mathematics | 20 jobs RDBMS | 20 jobs Power BI | 18 jobs Agile | 18 jobs Data analysis | 17 jobs Computer Science | 17 jobs Data governance | 15 jobs Security | 12 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 2023 and the number of open jobs that where offering them during that period:

Career development | 72 jobs Health care | 55 jobs Flex hours | 36 jobs Startup environment | 34 jobs Competitive pay | 30 jobs Flex vacation | 20 jobs Team events | 17 jobs 401(k) matching | 13 jobs Parental leave | 12 jobs Insurance | 12 jobs Medical leave | 10 jobs Salary bonus | 9 jobs Equity / stock options | 7 jobs Wellness | 6 jobs Home office stipend | 5 jobs Gear | 3 jobs Relocation support | 3 jobs Unlimited paid time off | 3 jobs Fitness / gym | 2 jobs Conferences | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Manager in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5-10%.

Regional differences also play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City may offer higher base salaries and more lucrative stock options, while companies in smaller markets might focus more on bonuses and benefits. Industry-wise, tech companies and financial institutions tend to offer more competitive compensation packages compared to academia or non-profit organizations. Larger companies often provide more comprehensive benefits and stock options, whereas smaller companies might offer higher bonuses to attract talent.

Increasing Salary

To increase your salary from a Mid-level/Intermediate Data Manager position, consider the following strategies:

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

• Advanced Education: Pursuing further education, such as a master's degree or Ph.D. in data science, computer science, or a related field, can open doors to higher-paying roles.

• Leadership Roles: Aim for leadership or managerial positions that offer higher salaries. Demonstrating strong leadership and project management skills can position you for promotions.

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

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

Educational Requirements

Most Mid-level/Intermediate Data Manager roles require at least a bachelor's degree in a relevant field such as data science, computer science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree, especially for more technical or specialized roles. A strong foundation in programming, data analysis, and statistical methods is essential.

Helpful Certifications

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

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Data Engineer: Demonstrates your ability to design, build, and manage data processing systems.
• AWS Certified Machine Learning – Specialty: Shows proficiency in using AWS for machine learning tasks.
• Microsoft Certified: Azure Data Scientist Associate: Validates your skills in using Azure for data science solutions.

Required Experience

Typically, a Mid-level/Intermediate Data Manager position requires 3-5 years of experience in data management, analysis, or a related field. Experience with data modeling, database management, and data visualization tools is often necessary. Familiarity with programming languages such as Python, R, or SQL is also commonly required. Experience in leading projects or teams can be advantageous.

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