Salary for Mid-level / Intermediate Manager during 2024
💰 The median Salary for Mid-level / Intermediate Manager during 2024 is USD 136,200
✏️ This salary info is based on 934 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Manager salary lies between USD 102,500 and USD 187,000 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
- Manager
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 934
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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 Mid-level / Intermediate Manager roles
The three most common job tag items assiciated with mid-level / intermediate Manager job listings are Engineering, Python and SQL. 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:
Engineering | 3435 jobs Python | 2943 jobs SQL | 2631 jobs Machine Learning | 2414 jobs Computer Science | 2104 jobs Research | 1937 jobs Statistics | 1904 jobs Data management | 1431 jobs R | 1422 jobs Agile | 1315 jobs Data analysis | 1277 jobs Security | 1261 jobs Data Analytics | 1252 jobs Architecture | 1245 jobs Excel | 1213 jobs Testing | 1207 jobs Tableau | 1155 jobs Mathematics | 1106 jobs Power BI | 1056 jobs Finance | 1048 jobsTop 20 Job Perks/Benefits for Mid-level / Intermediate Manager roles
The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 4385 jobs Health care | 2537 jobs Flex hours | 1684 jobs Equity / stock options | 1611 jobs Startup environment | 1535 jobs Competitive pay | 1301 jobs Team events | 1276 jobs Salary bonus | 1103 jobs Flex vacation | 1023 jobs Insurance | 1006 jobs Parental leave | 923 jobs Medical leave | 816 jobs Wellness | 611 jobs 401(k) matching | 523 jobs Transparency | 275 jobs Home office stipend | 247 jobs Conferences | 239 jobs Relocation support | 235 jobs Unlimited paid time off | 193 jobs Gear | 172 jobsSalary Composition
The salary for a mid-level/intermediate manager in AI/ML/Data Science typically comprises a 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 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, companies in regions with a lower cost of living might offer a smaller base salary but compensate with other benefits. 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 equity as a significant part of the package.
Increasing Salary
To increase your salary from this position, consider the following steps:
- Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies and tools.
- Leadership Development: Strengthen your leadership and management skills to prepare for senior roles.
- Networking: Build a strong professional network to learn about new opportunities and industry trends.
- Industry Specialization: Gain expertise in a specific industry, as specialized knowledge can command higher salaries.
- Advanced Education: Pursue further education, such as an MBA or a specialized master's degree, to enhance your qualifications.
Educational Requirements
Most mid-level/intermediate manager roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data analysis or algorithm development. Advanced degrees can provide a deeper understanding of machine learning models, statistical methods, and data management techniques.
Helpful Certificates
While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:
- Certified Analytics Professional (CAP)
- Google Professional Machine Learning Engineer
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Data Science Council of America (DASCA) Certifications
These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.
Required Experience
Typically, a mid-level/intermediate manager in AI/ML/Data Science is expected to have 5-10 years of experience in the field. This experience should include hands-on work with data analysis, machine learning model development, and project management. Experience in leading teams or projects is also crucial, as managerial roles require overseeing the work of others and ensuring project success.
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