A Data Quality Manager is in charge of ensuring that the data used by an organisation is accurate and consistent and that it is up to quality standards. They monitor and assess the quality of data that is used by the organisation to make informed decisions.
Role of a Data Quality Manager
Before we dive into what Data Quality Managers do, let’s take a look at what data quality management is exactly.
This term refers to all the measures taken to ensure an asset-oriented view, control and quality assurance of data in a company.
The following are the main drivers of data quality management within a company:
- A complete view of customer engagement
- Digitization and brand reputation
- Strategic decision-making by use of AI
Companies with well-organised data management and innovative Data Quality Managers are able to use data more efficiently and intelligently and thus increase their competitiveness.
On the other hand, poor data quality has a variety of effects on the quality of business processes.
What are the characteristics of good data quality management? The so-called data quality criteria are as follows:
- Completeness
- Clarity
- Correctness i.e. accuracy
- Timeliness and;
- Relevance
Data Quality Managers usually work together with other professionals and experts working with Data such as Data analysts, Data Modellers, or Big Data engineers.
Data Quality Manager Responsibilities
A Data Quality Manager is in charge of defining critical data and quality targets and then developing a data quality strategy that is in line with a company’s goals and objectives.
They review data often to ensure accuracy and completeness and oversee procedures for any errors or data defects. These managers also design dashboards that help them monitor data quality and create data documents, or dictionaries, that outline data terminology to be used within an organisation.
To keep up with constant change, managers also conduct their own research to identify any new trends that will help them develop solutions for data quality faster and in a more accurate way.
In addition to the roles mentioned above, Data Quality Managers sometimes recommend changes in data storage methods within a company in order to improve data accuracy. They also analyse any issues to better understand their cause and impact on a company’s bottom line.
What are the roles and responsibilities of a Data Quality Manager?
- Define critical data and quality targets
- Develop a data quality strategy that is in line with an organisation’s goals
- Review data often in order to ensure accuracy and completeness
- Oversee data procedures for any errors or defects
- Design dashboards to monitor data quality
- Create data dictionaries that outline data terminology
- Stay up-to-date with trends in order to develop solutions for data quality
- Recommend changes in data storage within a company
- Analyse data issues to understand cause and impact
- Work with other business teams to ensure data quality management system is working correctly
Looking for expert Data Quality Managers? Find the right one for your business here:
> Data Quality expert profiles <
What skills do I need to work as a Data Quality Manager?
There are certain skills you will need in order to work as a data quality manager. To begin with, you must have strong knowledge of CRM systems such as Salesforce and Microsoft Dynamics.
You must also have experience working with business analytics tools such as Qlikview and JIRA, must be able to write up managerial reports that clearly outline a company’s data performance and risk, and must have the ability to test and modify systems as needed.
Furthermore, you must be able to manage relationships with various business teams in a company and must be able to work with them to plan and lead projects to completion.
In terms of soft skills, a data quality manager must possess strong communication, organisation, and documentation skills, and must have strong attention to detail.
Skills of a Data Quality Manager:
- Data quality management experience
- Strong knowledge of CRM systems such as Salesforce
- Experience with business analytics tools such as JIRA
- Good with problem-solving techniques (e.g.: Business Process Improvement, Six Sigma, LEAN)
- Ability to write operational reports that clearly outline a company’s data performance and risk
- Ability to test and modify data systems as needed
- Manage relationships with various business teams
- Ability to work with different teams to plan and lead projects to completion
- Strong communication skills
- Good documentation skills
- Strong attention to detail and an analytical mind
- Time management skills
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How do I become a Data Quality Manager?
To work as one, you will most probably need a Bachelor’s degree in Computer Science, IT, Statistics, or a related field. Some employers may also prefer managers with a Master’s degree.
To boost your chances of finding a good job, you can also choose to obtain certifications and additional qualifications in the field of data quality management. Find options for these down below:
- Data Quality Training and Certification
- Measurement System Analysis In Supplier Quality Management
- Data Wrangling, Analysis and AB Testing with SQL
- Learning Data Governance
- Privacy by Design: Data Classification
- Data Warehouse ETL Testing & Data Quality Management A-Z
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How much do Data Quality Managers earn?
Because Data Quality Managers can be found in various industries, their salary can vary accordingly. Generally though, a manager who’s just starting out can expect a salary of around $74,650 per year whereas a more senior manager can earn around $102,700 per year.
In the US, the average salary for a Data Quality Manager is $85,700.
In Germany, the salary range of a Data Quality Manager is €38,000 – €68,500 whereas in the UK, the range is £33,000 – £73,000.
Data quality manager salary:
| US | $74,650 – $102,700 |
| Germany | €38,000 – €68,500 |
| UK | £33,000 – £73,000 |
How much do freelance Data Quality Managers earn?
| Average rate Data Quality Managers (2022) | $86/hr |
On average, freelance Data Quality Managers charge $86/hour (freelancermap’s price and rate index in September 2022).
Freelance rates in Data Quality Management range between $57 and $101 for the majority of freelancers.
Considering a freelance rate of $86/hour, a freelancer would charge $688/day for an 8-hour working day.
