Salary for Mid-level / Intermediate Data Management Manager during 2024

Salary details

The average mid-level / intermediate 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.

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 Mid-level / Intermediate Data Management Manager roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 22 jobs Data governance | 9 jobs Data quality | 9 jobs SQL | 7 jobs Research | 6 jobs Security | 6 jobs Python | 4 jobs Banking | 4 jobs Agile | 4 jobs R | 3 jobs AWS | 3 jobs Engineering | 3 jobs Power BI | 3 jobs Testing | 3 jobs Tableau | 2 jobs Economics | 2 jobs GCP | 2 jobs Azure | 2 jobs Classification | 2 jobs Google Cloud | 2 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 18 jobs Flex hours | 11 jobs Health care | 8 jobs Equity / stock options | 6 jobs Startup environment | 6 jobs Team events | 6 jobs Parental leave | 4 jobs Flex vacation | 4 jobs 401(k) matching | 3 jobs Medical leave | 3 jobs Insurance | 3 jobs Salary bonus | 3 jobs Wellness | 2 jobs Competitive pay | 2 jobs Relocation support | 1 jobs Snacks / Drinks | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Management Manager in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, usually around 70-80%. Bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York may offer higher base salaries and more lucrative stock options compared to other regions. Industry also impacts salary composition; tech companies might offer more in stock options, while finance or healthcare sectors might provide higher bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller companies potentially offering more equity.

Increasing Salary

To increase your salary from this position, 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 or senior management roles, which typically come with higher compensation.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Performance Excellence: Consistently exceed performance expectations to negotiate for higher bonuses or salary increments.

Educational Requirements

Most mid-level data management roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Information Technology. However, a master's degree is often preferred and can be a significant advantage. Degrees in business administration with a focus on data analytics are also valued, especially for roles that require a blend of technical and managerial skills.

Helpful Certifications

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

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

These certifications can validate your skills in data management, cloud platforms, and data analytics, making you a more competitive candidate.

Required Experience

Typically, a mid-level data management manager is expected to have 5-7 years of experience in data management, analytics, or a related field. Experience should include hands-on work with data management tools, leading data projects, and collaborating with cross-functional teams. Experience in a managerial or supervisory role is often required to demonstrate leadership capabilities.

Related salaries

Want to contribute?