Data Governance Manager jobs: skills, pay and how to get hired

What a data governance manager does

A data governance manager, also called a data governance lead, and in German often a Data Governance Manager or Datenqualitätsmanager, runs the rules and the people behind a company's data: who owns customer or product data, what each term means, which quality the data must have and who fixes it when it does not. Data stewards in the business units do much of the daily work; the manager sets up the roles, the policies, the catalogue and the council where decisions are made.

The role sits next to the other data roles. The data architect designs how data is stored and moved and the data engineer builds the pipelines; the data analyst is often the first to find bad data. Privacy work, the rights of people over their personal data, belongs to the data protection officer, with whom governance works closely. The steps from data steward to chief data officer are in the career paths of this role.

Data rules differ by place and sector; each country's section names its own. This page describes the work; it is not legal advice.

The skills the ads ask for

We read a sample of the ads every day and count the skills they name. On a computer, hover a skill in the text to see its share; on a phone, the table has the same figures.

The core leads: data governanceSet who owns which data, which rules apply to it and how decisions about it are made. as a practice, data qualityDefine, measure and improve the quality of the data the business relies on, rule by rule. rules and their measurement, metadata and lineageKeep definitions, lineage and owners of data recorded so that people can find and trust it., and master dataGovern customer, product and supplier records so each exists once and is correct everywhere.. Hands-on skills follow: SQLQuery data yourself to check a quality rule or trace a problem to its source. to check data yourself, dashboardsBuild or read dashboards that show data quality and governance progress to owners. to show progress and data modelsRead data models well enough to define terms and owners at the right level. to place definitions. Knowledge of data protectionKnow what data protection law asks of data handling, and work with the DPO where it applies. comes up in most ads, and banks add BCBS 239Know the Basel Committee's principles for risk data and what they ask of banks' data., the Basel Committee's international principles for risk data.

The bodies of knowledge are named side by side and none is a must everywhere: DAMA-DMBOKKnow the areas DAMA-DMBOK describes and use its vocabulary with other data professionals. from DAMA International describes the areas of data management, CDMPA data management certificate shows the ground covered; working governance shows the rest. is DAMA's certificate, and DCAM is the EDM Council's framework, used mainly in finance. The catalogue tools are named the same way: Collibra, Alation, Microsoft Purview, Informatica and Atlan; ads call them data cataloguesRun a data catalogue that people search every day, not a list that ages after launch.. Most of the job is changing habitsChange how people handle data, which is most of the work of governance., winning ownersGet business owners to take on data ownership and keep it when other work presses. and explaining the cost of bad dataExplain to executives why data quality costs money, and to stewards exactly what to fix.. Stewards are often reached in their own language, so GermanAsked for in most German ads, for work with business units, stewards and works councils. counts where it is spoken, next to EnglishThe language of most frameworks, tools and international data teams. for the tools.

Where the jobs are, country by country

Each country below has its own figures: which cities have the most jobs in our list, whether the number is going up or down, how often ads offer remote or hybrid work, the titles used in the country, and pay ranges from published research, in the local currency.

The rules that reach data governance are named side by side, each with its place: the GDPR in the EU, with the AI Act's data duties for high-risk AI in the EU; BCBS 239, the Basel Committee's international principles for banks' risk data; the German BDSG; the US CCPA in California; the UK GDPR; the Swiss FADP; and India's DPDP Act. The company's legal team and the data protection officer say which apply.

Governing one data domain, step by step

1. Choose: a domain the business cares about, such as customer data, and its most important fields.
2. Assign: an owner who decides and stewards who look after the data day to day.
3. Define: the terms in a glossary and the quality rules each field must meet.
4. Measure and fix: score the data against the rules, trace problems to their source and fix them there.
5. Spread: record it all in the catalogue, report progress to the council, then take the next domain.

The hard part is not the policy but the habit: owners who decide, stewards who fix, projects that ask before they create new data. A good data governance manager is trusted because the figures in the board's reports stopped being argued about.

Your CV for a data governance manager job

A data governance manager's CV is read first by hiring software that looks for the ad's words, then by a head of data who wants to see which data you governed, how its quality changed and how you got the business to take part. Give both: the keywords and the evidence.

Use the keywords the ads use

• Write the work as the ads do: "data governance", "data quality", "data ownership", "metadata", "data lineage", "master data", and the catalogue tools you used. The skills table above shows which keywords the ads use most.
• Say which data domains you governed and for how many business units or countries.
• Show results the business recognised: errors cut, reports reconciled, audits passed, time saved.
• Show a certificate you are still preparing for as in progress, with the exam you have planned.

Prove each skill

A governance line proves itself with a domain, a change in how people work and a measured result.

Keep confidential details out: no real figures from internal reports and no customer data.

How we read our data

• The jobs: the data governance manager jobs in our job search (data governance managers and leads, data stewards, data quality managers and the German title Datenqualitätsmanager), matched by their titles the way the search matches them; data protection and privacy titles are counted on the data protection officer's page. Our list is not the whole market, so we give shares and rankings, never counts.
• The skills: every day we read a sample of these ads and count the skills in them with a fixed word list. Only the counts are kept, never the text of an ad.
• Pay: from published salary research, each source named with its date, as a range from entry level to senior. Our ads are not used for it.
• Dates: every figure is worked out again each day and shows the day it was worked out.

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