Salary for Executive-level / Director Data Manager during 2024
💰 The median Salary for Executive-level / Director Data Manager during 2024 is USD 162,500
✏️ This salary info is based on 8 individual salaries reported during 2024
Salary details
The average executive-level / director Data Manager salary lies between USD 145,000 and USD 180,000 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
- Executive-level / Director
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 8
- Top 10%
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- Top 25%
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- Median
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- 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:Salary trend
Top 20 Job Tags for Executive-level / Director Data Manager roles
The three most common job tag items assiciated with executive-level / director Data Manager job listings are Data quality, FinTech 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:
Data quality | 5 jobs FinTech | 4 jobs Data management | 4 jobs Data governance | 4 jobs KPIs | 2 jobs Tableau | 1 jobs Economics | 1 jobs Engineering | 1 jobs Data Analytics | 1 jobs Banking | 1 jobs Finance | 1 jobs Testing | 1 jobs Excel | 1 jobs Statistics | 1 jobs Monte Carlo | 1 jobsTop 20 Job Perks/Benefits for Executive-level / Director Data Manager roles
The three most common job benefits and perks assiciated with executive-level / director Data Manager job listings are Equity / stock options, Parental leave and Health care. 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:
Equity / stock options | 4 jobs Parental leave | 4 jobs Health care | 4 jobs Startup environment | 4 jobs Salary bonus | 4 jobs Unlimited paid time off | 4 jobs Transparency | 1 jobsSalary Composition
The salary for an Executive-level or Director Data Manager in AI/ML/Data Science 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, around 70-80%, with smaller bonuses and fewer equity options. In industries like finance or healthcare, bonuses can be substantial, sometimes equaling or exceeding the base salary, while in smaller startups, equity might be a more significant component of the total package.
Increasing Salary
To increase your salary from this position, consider the following strategies:
- Expand Your Skill Set: Acquiring new skills in emerging technologies or methodologies can make you more valuable. Consider learning about advanced AI techniques, data privacy regulations, or cloud computing.
- Pursue Leadership Roles: Taking on more significant leadership responsibilities or moving to a larger organization can lead to higher compensation.
- Network and Build Industry Connections: Engaging with industry peers can open up opportunities for higher-paying roles.
- Negotiate Effectively: When offered a new position or during performance reviews, negotiate for higher pay, better bonuses, or more equity.
Educational Requirements
Most executive-level roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that require deep technical expertise or research capabilities. An MBA can also be beneficial for those looking to emphasize their leadership and business acumen.
Helpful Certifications
While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to the field:
- Certified Analytics Professional (CAP)
- Google Professional Machine Learning Engineer
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Data Science Council of America (DASCA) Senior Data Scientist
These certifications can help validate your skills and knowledge, making you a more attractive candidate for higher-level positions.
Required Experience
Typically, a minimum of 8-10 years of experience in data science, machine learning, or a related field is required for an executive-level position. This experience should include a mix of technical expertise, project management, and leadership roles. Experience in managing teams, developing data strategies, and implementing large-scale data projects is often crucial.
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