Salary for Senior-level / Expert Head of Data during 2024
💰 The median Salary for Senior-level / Expert Head of Data during 2024 is USD 154,700
✏️ This salary info is based on 9 individual salaries reported during 2024
Salary details
The average senior-level / expert Head of Data salary lies between USD 103,050 and USD 225,000 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
- Head of Data
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 9
- Top 10%
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- Top 25%
-
- Median
-
- 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 Senior-level / Expert Head of Data roles
The three most common job tag items assiciated with senior-level / expert Head of Data job listings are Engineering, Architecture and Data governance. 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 | 26 jobs Architecture | 24 jobs Data governance | 21 jobs SQL | 19 jobs Data quality | 19 jobs Security | 18 jobs Python | 17 jobs Data management | 15 jobs Machine Learning | 14 jobs Pipelines | 14 jobs Computer Science | 14 jobs AWS | 12 jobs Spark | 11 jobs Data pipelines | 11 jobs GCP | 11 jobs Azure | 11 jobs Big Data | 10 jobs Privacy | 10 jobs ETL | 9 jobs Research | 9 jobsTop 20 Job Perks/Benefits for Senior-level / Expert Head of Data roles
The three most common job benefits and perks assiciated with senior-level / expert Head of Data 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 | 32 jobs Health care | 24 jobs Flex hours | 17 jobs Startup environment | 16 jobs Competitive pay | 16 jobs Equity / stock options | 10 jobs Parental leave | 8 jobs Team events | 8 jobs Salary bonus | 8 jobs Wellness | 5 jobs Medical leave | 5 jobs Flex vacation | 4 jobs Insurance | 4 jobs Unlimited paid time off | 3 jobs Flat hierarchy | 2 jobs Fitness / gym | 2 jobs Conferences | 2 jobs 401(k) matching | 1 jobs Gear | 1 jobs Transparency | 1 jobsSalary Composition
The salary for a Senior-level or Expert Head of Data position typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly depending on the region, industry, and company size. In North America, particularly in tech hubs like Silicon Valley, the base salary might constitute 60-70% of the total compensation, with bonuses and equity making up the rest. In Europe, the base salary might be a larger portion, with bonuses being more modest. In industries like finance or healthcare, bonuses can be substantial, reflecting the high stakes and profitability of these sectors. Smaller companies or startups might offer lower base salaries but compensate with significant equity stakes.
Increasing Salary Further
To increase your salary beyond the median for this role, consider pursuing roles in larger organizations or those in high-demand industries like tech or finance, where compensation packages are typically more generous. Expanding your skill set to include emerging technologies such as AI ethics, quantum computing, or advanced machine learning techniques can make you more valuable. Networking with industry leaders and participating in high-profile projects can also enhance your visibility and reputation, potentially leading to higher-paying opportunities. Additionally, negotiating your compensation package by leveraging offers from other companies can be an effective strategy.
Educational Requirements
Most Senior-level or Expert Head of Data positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline. A Ph.D. can be advantageous, particularly in research-intensive roles or organizations that prioritize advanced analytical capabilities. An MBA might also be beneficial, especially for roles that require significant business acumen and leadership skills.
Helpful Certifications
While not always mandatory, certain certifications can bolster your credentials and demonstrate your expertise. Certifications such as Certified Analytics Professional (CAP), Microsoft Certified: Azure Data Scientist Associate, or Google Professional Data Engineer can be valuable. Additionally, specialized certifications in machine learning or AI from platforms like Coursera, edX, or Udacity can showcase your commitment to continuous learning and staying current with industry trends.
Required Experience
Typically, a Senior-level or Expert Head of Data role requires at least 10-15 years of experience in data science, analytics, or a related field. This experience should include a proven track record of leading data teams, managing large-scale data projects, and driving data-driven decision-making within an organization. Experience in strategic planning and a deep understanding of industry-specific data challenges are also crucial.
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