Salary for Senior-level / Expert Data Manager during 2023

💰 The median Salary for Senior-level / Expert Data Manager during 2023 is USD 130,000

✏️ This salary info is based on 68 individual salaries reported during 2023

Salary details

The average senior-level / expert Data Manager salary lies between USD 105,000 and USD 145,000 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: Data Manager

Experience: Senior-level / Expert

Region: global/worldwide

Salary year: 2023

Sample size: 68

Top 10%: $ 160,667

Top 25%: $ 145,000

Median: $ 130,000

Bottom 25%: $ 105,000

Bottom 10%: $ 68,000

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

Salary trend

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

The three most common job tag items assiciated with senior-level / expert Data Manager job listings are Data management, Testing and Research. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

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

The three most common job benefits and perks assiciated with senior-level / expert Data Manager job listings are Career development, Health care and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Salary Composition

The salary for a Senior-level or Expert Data Manager in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, usually around 70-80%. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5-10% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market. In contrast, companies in smaller cities or regions may offer lower base salaries but compensate with other benefits.

Increasing Salary

To increase your salary further from a Senior-level Data Manager position, consider the following strategies:

Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing or computer vision, which can make you more valuable to employers.
Leadership Roles: Transition into leadership roles such as Head of Data Science or Chief Data Officer, which typically come with higher compensation.
Industry Shift: Move to industries that pay higher salaries for data roles, such as finance, healthcare, or tech.
Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to maintain a competitive edge.
Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.

Educational Requirements

Most Senior-level Data Manager positions require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Mathematics. However, a master's degree or Ph.D. is often preferred, especially for roles that demand a deep understanding of complex algorithms and data systems. Advanced degrees can also provide a competitive edge and may be necessary for roles in research-intensive industries or academia.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

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

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

Required Experience

Typically, a Senior-level Data Manager role requires 7-10 years of experience in data science, analytics, or a related field. This experience should include a proven track record of managing data projects, leading teams, and delivering data-driven insights that impact business decisions. Experience in specific industries or with particular technologies can also be advantageous, depending on the job requirements.

Related salaries

Data Manager @ $ 115,500 (global) Details

Data Manager @ $ 104,500 (global) - Mid-level / Intermediate Details

Data Manager @ $ 80,000 (global) - Executive-level / Director Details

Data Manager @ $ 130,000 (United States) - Senior-level / Expert Details

Data Manager @ $ 112,750 (United States) - Mid-level / Intermediate Details

Data Manager @ $ 80,000 (United States) - Executive-level / Director Details

Data Manager @ $ 115,500 (United States) Details

Data Manager @ $ 70,748 (United Kingdom) Details

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