Salary for Mid-level / Intermediate Data Manager in United Kingdom during 2024

Salary details

The average mid-level / intermediate Data Manager salary lies between USD 40,378 and USD 63,581 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.

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: Jan. 19, 2025

Top 20 Job Tags for Mid-level / Intermediate Data Manager roles

The three most common job tag items assiciated with mid-level / intermediate Data Manager job listings are Data management, Data quality and Research. 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 management | 519 jobs Data quality | 259 jobs Research | 246 jobs Excel | 237 jobs SQL | 231 jobs Security | 205 jobs Engineering | 172 jobs Data governance | 145 jobs Data analysis | 138 jobs Statistics | 132 jobs Computer Science | 128 jobs Python | 126 jobs R | 122 jobs Testing | 122 jobs Power BI | 115 jobs Pharma | 115 jobs Privacy | 100 jobs Architecture | 94 jobs Finance | 91 jobs GCP | 85 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Manager 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 | 414 jobs Health care | 264 jobs Flex hours | 214 jobs Team events | 153 jobs Competitive pay | 130 jobs Insurance | 116 jobs Equity / stock options | 108 jobs Startup environment | 107 jobs Salary bonus | 101 jobs Flex vacation | 70 jobs Medical leave | 63 jobs Parental leave | 58 jobs Wellness | 46 jobs 401(k) matching | 33 jobs Conferences | 24 jobs Relocation support | 21 jobs Gear | 17 jobs Transparency | 16 jobs Home office stipend | 16 jobs Yoga | 15 jobs

Salary Composition

In the United Kingdom, the salary for a Mid-level/Intermediate Data Manager in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most substantial component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement contributions, can make up the remaining 5-10%.

The composition can vary based on the region, with London-based roles often offering higher base salaries due to the cost of living. Industry also plays a role; tech companies might offer more in stock options, while financial services might provide higher cash bonuses. Larger companies may offer more comprehensive benefits packages compared to smaller startups.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's degree or a Ph.D. in data science or a related field, can open up higher-paying opportunities.

• Leadership Roles: Aim for leadership or managerial roles that involve overseeing larger teams or projects, as these positions typically offer higher salaries.

• Industry Transition: Consider moving to industries that pay more for data science roles, such as finance, healthcare, or tech.

• Networking and Visibility: Attend industry conferences, contribute to open-source projects, or publish research to increase your visibility and network, which can lead to better job offers.

Educational Requirements

Most Mid-level Data Manager positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or mathematics. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex data analysis or machine learning model development. A strong foundation in programming, statistics, and data manipulation is essential.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Demonstrates proficiency in using Azure for data science tasks.
• Google Professional Data Engineer: Shows expertise in designing and building data processing systems on Google Cloud.
• AWS Certified Machine Learning – Specialty: Highlights your skills in building, training, and deploying machine learning models on AWS.

Experience Requirements

Typically, a Mid-level Data Manager role requires 3-5 years of experience in data analysis, data management, or a related field. Experience with data visualization tools, machine learning frameworks, and database management systems is often expected. Prior experience in leading projects or teams can be advantageous.

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