Salary for Mid-level / Intermediate Data Manager in United States during 2024

Salary details

The average mid-level / intermediate Data Manager salary lies between USD 73,300 and USD 123,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 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, Data quality and Excel. 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 | 464 jobs Data quality | 239 jobs Excel | 230 jobs Research | 224 jobs SQL | 213 jobs Security | 187 jobs Engineering | 155 jobs Data governance | 133 jobs Data analysis | 124 jobs Statistics | 119 jobs Computer Science | 117 jobs Python | 115 jobs R | 110 jobs Power BI | 106 jobs Pharma | 106 jobs Testing | 105 jobs Architecture | 86 jobs Privacy | 86 jobs Finance | 82 jobs Data Analytics | 76 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 | 382 jobs Health care | 238 jobs Flex hours | 200 jobs Team events | 134 jobs Competitive pay | 118 jobs Startup environment | 107 jobs Insurance | 107 jobs Equity / stock options | 97 jobs Salary bonus | 88 jobs Flex vacation | 64 jobs Medical leave | 54 jobs Parental leave | 51 jobs Wellness | 41 jobs 401(k) matching | 30 jobs Conferences | 23 jobs Relocation support | 19 jobs Gear | 16 jobs Home office stipend | 15 jobs Yoga | 14 jobs Transparency | 13 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Manager in the AI/ML/Data Science field typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk 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 might be more substantial compared to other areas. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and sometimes even tuition reimbursement, which can add significant value to the overall compensation.

Steps to Increase Salary

To increase your salary from this 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 a master's degree or a Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary. This might involve taking on more responsibilities or leading larger projects.
• Networking: Building a strong professional network can lead to opportunities for higher-paying positions, either within your current company or elsewhere.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most mid-level data manager positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or information technology. However, many employers prefer candidates with a master's degree, especially in competitive markets. A strong educational background provides a solid foundation in the technical and analytical skills necessary for the role.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. 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 help you stand out in the job market and may lead to better job opportunities and higher salaries.

Required Experience

Typically, a mid-level 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 warehousing is often essential. Familiarity with programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau or Power BI, are also commonly required.

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