Salary for Executive-level / Director Head of Data in United Kingdom during 2023
💰 The median Salary for Executive-level / Director Head of Data in United Kingdom during 2023 is USD 123,040
✏️ This salary info is based on 6 individual salaries reported during 2023
Salary details
The average executive-level / director Head of Data salary lies between USD 110,736 and USD 184,560 in the United Kingdom. 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
- United Kingdom
- Salary year
- 2023
- Sample size
- 6
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- Median
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 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 strategy. 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:
Engineering | 77 jobs Machine Learning | 62 jobs Data strategy | 51 jobs Python | 48 jobs SQL | 47 jobs Architecture | 42 jobs Computer Science | 39 jobs Data governance | 38 jobs Data Analytics | 37 jobs Statistics | 36 jobs Data management | 32 jobs AWS | 30 jobs Tableau | 29 jobs Security | 29 jobs Finance | 28 jobs Data quality | 28 jobs Agile | 27 jobs R | 23 jobs DataOps | 23 jobs Privacy | 23 jobsTop 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, Startup environment and Health care. 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:
Career development | 107 jobs Startup environment | 65 jobs Health care | 57 jobs Flex hours | 55 jobs Equity / stock options | 43 jobs Team events | 37 jobs Flex vacation | 34 jobs Insurance | 32 jobs Parental leave | 26 jobs Competitive pay | 25 jobs Salary bonus | 25 jobs Wellness | 20 jobs Medical leave | 13 jobs Home office stipend | 12 jobs Gear | 8 jobs Conferences | 8 jobs Unlimited paid time off | 8 jobs Signing bonus | 7 jobs 401(k) matching | 5 jobs Flexible spending account | 5 jobsSalary Composition
In the United Kingdom, the salary composition for an Executive-level or Director Head of Data role typically includes a mix of fixed salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in larger tech companies or startups. The fixed salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 30% of the total package. Additional remuneration, such as stock options, is more common in tech startups and large corporations, providing long-term incentives and can make up 10% to 20% of the total compensation. The exact composition can vary based on the region, with London typically offering higher salaries due to the cost of living, and industry, with finance and tech sectors often providing more lucrative packages.
Increasing Salary
To increase your salary further from this position, consider the following strategies:
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Expand Your Skill Set: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. This could involve learning new programming languages, mastering advanced data analytics tools, or gaining expertise in specialized areas like deep learning or natural language processing.
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Network and Build Relationships: Engage with industry peers through conferences, seminars, and online platforms. Building a strong professional network can open up opportunities for higher-paying roles and collaborations.
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Seek Leadership Opportunities: Demonstrating leadership in projects and initiatives can position you for promotions or higher-paying roles. Take on responsibilities that showcase your ability to drive strategic decisions and manage teams effectively.
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Negotiate Effectively: When discussing compensation, be prepared to negotiate. Research industry standards and be ready to articulate your value to the organization.
Educational Requirements
For an Executive-level or Director Head of Data role, a strong educational background is typically required. Most candidates hold at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, a master's degree or Ph.D. is often preferred, especially in larger organizations or more competitive industries. Advanced degrees provide a deeper understanding of complex data systems and analytical techniques, which are crucial for strategic decision-making at this level.
Helpful Certificates
While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to professional development. Some valuable certifications include:
- Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights and actions.
- Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models.
- AWS Certified Machine Learning – Specialty: Shows expertise in using AWS services to create, train, and deploy ML models.
Required Experience
Typically, candidates for this role have extensive experience in data science, AI, or related fields, often ranging from 8 to 15 years. This experience should include a proven track record of managing data teams, leading complex projects, and driving data-driven decision-making processes. Experience in a specific industry can also be beneficial, as it provides context and understanding of industry-specific challenges and opportunities.
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