Data Management Manager Salary in 2024

💰 The median Data Management Manager Salary in 2024 is USD 89,175

✏️ This salary info is based on 8 individual salaries reported during 2024

Submit your salary Download the data

Salary details

The average Data Management Manager salary lies between USD 78,592 and USD 93,750 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.

Job title
Data Management Manager
Experience
all levels
Region
global/worldwide
Salary year
2024
Sample size
8
Top 10%
$ 193,000
Top 25%
$ 93,750
Median
$ 89,175
Bottom 25%
$ 78,592
Bottom 10%
$ 77,051

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated:

Top 20 Job Tags for Data Management Manager roles

The three most common job tag items assiciated with Data Management Manager job listings are Data management, Data governance 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 | 23 jobs Data governance | 9 jobs Data quality | 9 jobs SQL | 6 jobs Research | 5 jobs Security | 5 jobs Python | 4 jobs Banking | 4 jobs Agile | 4 jobs R | 3 jobs AWS | 3 jobs Engineering | 3 jobs Finance | 3 jobs Power BI | 3 jobs Testing | 3 jobs Excel | 3 jobs KPIs | 3 jobs Tableau | 2 jobs Economics | 2 jobs GCP | 2 jobs

Top 20 Job Perks/Benefits for Data Management Manager roles

The three most common job benefits and perks assiciated with Data Management Manager job listings are Career development, Flex hours and Health care. 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 | 20 jobs Flex hours | 10 jobs Health care | 8 jobs Equity / stock options | 6 jobs Startup environment | 6 jobs Team events | 6 jobs Parental leave | 4 jobs Salary bonus | 4 jobs 401(k) matching | 3 jobs Flex vacation | 3 jobs Medical leave | 3 jobs Insurance | 3 jobs Wellness | 2 jobs Competitive pay | 2 jobs Transparency | 1 jobs Relocation support | 1 jobs Snacks / Drinks | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Data Management 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 and varies significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City often offer higher base salaries compared to other regions. Performance bonuses are usually tied to individual or company performance metrics and can range from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech startups, or comprehensive benefits packages in larger corporations.

Steps to Increase Salary

To increase your salary from the position of a Data Management Manager, consider the following strategies:

  • Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and data management tools. Specializing in niche areas can make you more valuable.
  • Advanced Education: Pursuing further education, such as a master's degree or MBA, can open up higher-paying opportunities.
  • Leadership Roles: Aim for leadership roles that involve strategic decision-making and managing larger teams or projects.
  • Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
  • Industry Switch: Consider moving to industries that pay higher salaries for data management roles, such as finance or healthcare.

Educational Requirements

Most Data Management Manager positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. However, a master's degree is often preferred, especially in larger organizations or more competitive markets. Degrees that focus on data analytics, business intelligence, or information systems can be particularly beneficial.

Helpful Certifications

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

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

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-level positions.

Experience Requirements

Typically, a Data Management Manager role requires 5-10 years of experience in data management, data analysis, or a related field. Experience in managing teams, overseeing data projects, and implementing data governance frameworks is crucial. Familiarity with AI/ML tools and techniques is increasingly important as these technologies become more integrated into data management practices.

Related salaries

Data Management Manager @ $ 89,175 (global) - Mid-level / Intermediate Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.