Salary for Senior-level / Expert Manager during 2024

Salary details

The average senior-level / expert Manager salary lies between USD 138,600 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. 17, 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 | 3249 jobs Machine Learning | 2518 jobs Python | 2259 jobs Computer Science | 2040 jobs SQL | 1895 jobs Research | 1677 jobs Statistics | 1493 jobs Architecture | 1349 jobs Agile | 1273 jobs Security | 1171 jobs Testing | 1112 jobs AWS | 1077 jobs Data management | 1068 jobs R | 1056 jobs Data Analytics | 1023 jobs Privacy | 970 jobs Mathematics | 939 jobs Azure | 873 jobs Data analysis | 845 jobs Finance | 798 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 | 3749 jobs Health care | 2119 jobs Equity / stock options | 1477 jobs Flex hours | 1327 jobs Startup environment | 1298 jobs Competitive pay | 1219 jobs Salary bonus | 1078 jobs Team events | 1054 jobs Medical leave | 906 jobs Insurance | 889 jobs Flex vacation | 865 jobs Parental leave | 802 jobs Wellness | 542 jobs 401(k) matching | 522 jobs Transparency | 268 jobs Home office stipend | 220 jobs Relocation support | 188 jobs Flexible spending account | 185 jobs Conferences | 180 jobs Fitness / gym | 172 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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