Salary for Mid-level / Intermediate Data Manager during 2024

Salary details

The average mid-level / intermediate Data Manager salary lies between USD 64,000 and USD 114,285 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: Jan. 19, 2025

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, Data quality and Research. 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 | 519 jobs Data quality | 259 jobs Research | 246 jobs Excel | 237 jobs SQL | 231 jobs Security | 205 jobs Engineering | 172 jobs Data governance | 145 jobs Data analysis | 138 jobs Statistics | 132 jobs Computer Science | 128 jobs Python | 126 jobs R | 122 jobs Testing | 122 jobs Power BI | 115 jobs Pharma | 115 jobs Privacy | 100 jobs Architecture | 94 jobs Finance | 91 jobs GCP | 85 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 2024 and the number of open jobs that where offering them during that period:

Career development | 414 jobs Health care | 264 jobs Flex hours | 214 jobs Team events | 153 jobs Competitive pay | 130 jobs Insurance | 116 jobs Equity / stock options | 108 jobs Startup environment | 107 jobs Salary bonus | 101 jobs Flex vacation | 70 jobs Medical leave | 63 jobs Parental leave | 58 jobs Wellness | 46 jobs 401(k) matching | 33 jobs Conferences | 24 jobs Relocation support | 21 jobs Gear | 17 jobs Transparency | 16 jobs Home office stipend | 16 jobs Yoga | 15 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 composition can vary significantly based on region, industry, and company size. In North America, particularly in tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, in regions with a lower cost of living, the base salary might be lower, but companies may offer competitive bonuses to attract talent. Industries such as finance or healthcare might offer higher bonuses compared to academia or non-profits. Larger companies often provide more comprehensive benefits and stock options, while smaller startups might offer higher equity stakes in lieu of a higher base salary.

Increasing Salary

To increase your salary from a Mid-level 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 niche areas like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your salary. This might involve taking on more responsibilities or leading larger teams.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.
• Networking and Visibility: Building a strong professional network and increasing your visibility in the field through conferences, publications, or speaking engagements can lead to better job offers.

Educational Requirements

Most mid-level data manager positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, a master's degree is often preferred and can be a significant advantage. Some roles might also require coursework or experience in business administration, especially if the position involves managing teams or projects.

Helpful Certifications

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

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and make you more competitive in the job market.

Required Experience

Typically, a mid-level data manager role requires 3-5 years of experience in data science, analytics, or a related field. Experience in managing data projects, leading teams, or working with large datasets is often essential. Familiarity with data management tools, programming languages like Python or R, and experience with machine learning frameworks can also be crucial.

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