Salary for Executive-level / Director Head of Data during 2024

💰 The median Salary for Executive-level / Director Head of Data during 2024 is USD 231,000

✏️ This salary info is based on 96 individual salaries reported during 2024

Salary details

The average executive-level / director Head of Data salary lies between USD 190,950 and USD 263,500 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: Executive-level / Director

Region: global/worldwide

Salary year: 2024

Sample size: 96

Top 10%: $ 322,300

Top 25%: $ 263,500

Median: $ 231,000

Bottom 25%: $ 190,950

Bottom 10%: $ 163,000

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 Executive-level / Director Head of Data roles

The three most common job tag items assiciated with executive-level / director Head of Data job listings are Engineering, Machine Learning and Data management. 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:

Top 20 Job Perks/Benefits for Executive-level / Director Head of Data roles

The three most common job benefits and perks assiciated with executive-level / director Head of Data job listings are Career development, Health care and Startup environment. 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:

Salary Composition

The salary for an Executive-level or Director Head of Data position typically comprises a mix of base salary, bonuses, and additional remuneration such as stock options or equity. The composition can vary significantly depending on the region, industry, and company size. In the United States, for instance, the base salary might constitute 60-70% of the total compensation package, with bonuses making up 20-30%, and the remainder coming from stock options or other incentives. In tech-heavy regions like Silicon Valley, equity can be a substantial part of the package, especially in startups or high-growth companies. In contrast, in more traditional industries or regions, the base salary might be a larger portion of the total compensation.

Increasing Salary Further

To increase your salary beyond the median of USD 232,000, consider the following strategies:

Expand Your Network: Building relationships with industry leaders can open doors to higher-paying opportunities.
Specialize in High-Demand Areas: Focus on emerging technologies or niche areas within AI/ML that are in high demand.
Pursue Leadership Roles: Taking on more significant leadership responsibilities or moving to a larger organization can lead to higher compensation.
Negotiate Effectively: Develop strong negotiation skills to maximize your compensation package during job offers or performance reviews.

Educational Requirements

Most executive-level positions in AI/ML/Data Science require at least a master's degree in a relevant field such as computer science, data science, statistics, or engineering. A Ph.D. can be advantageous, especially in research-intensive roles or organizations that prioritize academic credentials. Additionally, an MBA can be beneficial for those looking to emphasize their business acumen and leadership skills.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications include:

Certified Analytics Professional (CAP)
Google Professional Machine Learning Engineer
AWS Certified Machine Learning – Specialty
Microsoft Certified: Azure AI Engineer Associate

These certifications can help validate your skills and keep you updated with the latest industry standards and technologies.

Required Experience

Typically, candidates for a Director Head of Data role are expected to have 10-15 years of experience in data science, machine learning, or a related field. This experience should include a mix of technical expertise and leadership roles, demonstrating your ability to manage teams, drive strategic initiatives, and deliver impactful results. Experience in managing cross-functional teams and projects is often crucial, as is a proven track record of implementing data-driven solutions that align with business objectives.

Related salaries

Head of Data @ $ 170,095 (global) - Senior-level / Expert Details

Head of Data @ $ 227,500 (global) Details

Head of Data @ $ 232,000 (United States) Details

Head of Data @ $ 232,000 (United States) - Executive-level / Director Details

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