Data Management Consultant salary in Kenya

Average Yearly Salary of Data Management Consultant in Kenya is approximately 1,884,664 KES (11,871 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Data Management Consultant do?

A data management consultant is responsible for analyzing, organizing, and maintaining large sets of data to ensure its accuracy, accessibility, and security. They work closely with clients to understand their data needs and develop strategies for data collection, storage, and retrieval. The consultant also assesses existing data management systems, identifies areas for improvement, and implements solutions to enhance data quality and efficiency. They may develop data governance policies and procedures, train staff on data management best practices, and monitor compliance with data regulations. Additionally, data management consultants may provide expertise in data integration, migration, and transformation projects.

Skills: data management, data analysis, data organization, data security, data governance, data integration
Job industry: Consulting

How much does Data Management Consultant make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Data Management Consultant a well paid job?

Yes, our data show that Data Management Consultant is a very well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Management Consultant?

High salary for Data Management Consultant would be somewhere between 2,073,130 KES and 2,732,763 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Management Consultant in Kenya?

Living in Kenya the approximate monthly expenses are: 240 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 1,884,664 KES
Estimated Monthly Salary: 157,055 KES
Estimated Weekly Salary: 36,244 KES per week
Estimated Hourly Salary: 906 KES per hour
By working as Data Management Consultant a person can save up to 749 USD per month or 8,991 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Kenya, see costs of living in Kenya.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Ethiopia, Somalia, South Sudan, Tanzania, Uganda..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Management Consultant

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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