Salary for Senior-level / Expert Manager during 2024

Salary details

The average senior-level / expert Manager salary lies between USD 138,200 and USD 224,000 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.

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

Last updated: Nov. 10, 2024

Top 20 Job Tags for Senior-level / Expert Manager roles

The three most common job tag items assiciated with senior-level / expert Manager job listings are Engineering, Machine Learning and Python. 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 | 3141 jobs Machine Learning | 2435 jobs Python | 2188 jobs Computer Science | 1985 jobs SQL | 1832 jobs Research | 1632 jobs Statistics | 1442 jobs Architecture | 1311 jobs Agile | 1245 jobs Security | 1127 jobs Testing | 1080 jobs AWS | 1041 jobs Data management | 1034 jobs R | 1022 jobs Data Analytics | 991 jobs Privacy | 940 jobs Mathematics | 912 jobs Azure | 836 jobs Data analysis | 820 jobs Finance | 778 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Manager roles

The three most common job benefits and perks assiciated with senior-level / expert Manager job listings are Career development, Health care and Equity / stock options. 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 | 3644 jobs Health care | 2067 jobs Equity / stock options | 1444 jobs Flex hours | 1290 jobs Startup environment | 1258 jobs Competitive pay | 1188 jobs Salary bonus | 1061 jobs Team events | 1029 jobs Medical leave | 881 jobs Insurance | 874 jobs Flex vacation | 849 jobs Parental leave | 786 jobs Wellness | 529 jobs 401(k) matching | 515 jobs Transparency | 257 jobs Home office stipend | 217 jobs Flexible spending account | 181 jobs Relocation support | 178 jobs Conferences | 175 jobs Fitness / gym | 171 jobs

Salary Composition

The salary for a Senior-level/Expert Manager in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. 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 lower base salary but compensate with other benefits. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of data-driven decision-making in these fields. Larger companies often provide more comprehensive benefits and bonuses compared to startups, which might offer more equity to compensate for lower base salaries.

Increasing Salary Further

To increase your salary from this position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand, such as natural language processing or computer vision.
• Leadership Skills: Enhance your leadership and management skills to take on more significant responsibilities or move into executive roles.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and valuable to employers.
• Negotiation: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a master's degree in a related field such as computer science, data science, statistics, or engineering. A Ph.D. can be advantageous, especially for roles that involve research or developing new algorithms. Additionally, a strong foundation in mathematics and statistics is often essential.

Helpful Certificates

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a senior-level manager in AI/ML/Data Science is expected to have at least 8-10 years of experience in the field. This experience should include hands-on work with data analysis, machine learning model development, and project management. Experience leading teams and managing projects is crucial, as these roles often involve overseeing the work of other data scientists and engineers.

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