9 In-Demand Data Governance Skills

Key takeaways

• In-demand data governance skills include both technical and workplace skills, such as data security frameworks and effective communication, as well as knowledge of regulatory and compliance laws.

• Skills needed for data governance include data management and analytics, a strong attention to detail, data security, and proficiency with big data tools.

• You can focus on developing specific data governance technical skills, like structured query language, Python, and R, to improve your data analytics skills for data governance.

Examples of data governance include implementing specific frameworks and policies surrounding data collection and storage to help keep information safe. Learn more about data governance skills and how you can develop them. Afterward, enroll in the Google Data Analytics Professional Certificate for an opportunity to learn in-demand skills, including data cleansing and analysis, interactive data visualization, and data storytelling.

What is data governance?

Data governance determines how organizations and employees collect, manage, and store data. Data governance frameworks, policies, and regulations are put in place to protect the public’s data from misuse and to ensure the safety, quality, and ethical use of data.

Companies and organizations implement data governance frameworks tailored to their data needs, outlining processes and structures to follow when working with data. The benefits of implementing a data governance framework include the following:

• Allows for clean auditing of information

• Maintains data quality and consistency

• Ensures regulatory compliance

• Builds trust with customers and suppliers

• Mitigates risk

What skills are needed for data governance?

Working in data governance requires you to build a range of both technical and workplace skills. You must have the technical skills to work with data; the legal knowledge to understand regulatory and compliance laws; and the workplace skills to communicate well with others, solve problems, and manage projects. Check out nine essential data governance skills below.

1. Data management

To work in data governance, you have to fully understand the data lifecycle and how to manage each stage. You’ll find eight stages in the data management lifecycle, and as each one feeds into the next, it’s vital that you understand this as a starting point. The lifecycle stages are:

1. Generation

2. Collection

3. Processing

4. Storage

5. Management

6. Analysis

7. Visualization

8. Interpretation

Data management for governance involves preparing and storing data, managing data flow and who has access to data, and developing standards and policies to protect data.

2. Data analytics

Data governance professionals are skilled in data analysis. In this role, you need to analyze and interpret data to understand patterns, trends, and inconsistencies and draw meaningful conclusions based on this data. It is important to identify issues and use data to inform important decisions.

Learning how to use data analytics tools, software, and strategies can boost your data analytics skills. These might include statistical modeling, algorithms, data mining, machine learning, natural language processing, and artificial intelligence. You may choose to learn Tableau for data visualization, R for statistical analysis, or Python for data analysis.

Read more: 15 Data Analysis Tools and When to Use Them

3. Regulatory compliance

A very important data governance skill is understanding regulatory compliance, which is central to any data governance position. Regulatory compliance refers to how your organization manages data within the laws and regulations that govern your industry and data handling in general. Any data governance policies and processes that you create must clearly adhere to data security and privacy laws, as well as comply with regulations regarding data handling in your field.

Regulatory compliance will require you to understand the legal and ethical issues surrounding data, stay current on changing regulations, and apply compliance controls to ensure that your company meets all necessary legal requirements.

4. Data security

Along with data regulations, another important aspect of data governance is data security. Employers expect a data governance professional to know how to protect data and information from being accessed by unauthorized individuals. You will need to be able to formulate frameworks and policies that protect against cyber threats and data breaches, maintain the physical security of hardware and devices, implement access controls, and ensure the encryption of sensitive files.

5. Technical proficiency

Data governance is a technical field, and you must have a good grasp of the technologies that support your work. This includes data management tools, big data analysis tools, Structured Query Language (SQL), Visual Basic for Applications (VBA), and cloud platforms. The tools you’ll use in a data governance position will likely fall into one of three categories:

1. Data cataloging: To help you store data in a single location with easy points of access; examples include Alation and Informatica

2. Data quality: To ensure data is of good quality, including tools for cleaning, storing, and monitoring data; examples include Qlik Talend and Precisely

3. Data modeling: To support data interpretation; examples include Apache Spark and Lucidchart

In addition to being able to use these tools, you must also be able to select the most appropriate tools to meet your company's data governance needs and remain up-to-date on emerging tools relevant to data governance.

6. Communication

Data compliance professionals need excellent communication skills because an essential part of the role is explaining complex information to stakeholders, colleagues, and non-technical parties.

You’ll also need to use your excellent communication skills when writing policies and procedures, building relationships with colleagues, collaborating in teams, and dealing with conflicts.

7. Project management

Data governance involves working on and managing several areas of a project at a time, so project management is an important skill to master. You’ll work with a team and be responsible for planning projects and monitoring progress; setting goals, objectives, timelines, and budgets; and allocating appropriate resources. Some sub-skills you’ll need to excel in project management include:

• Time management

• Organization

• Leadership

• Communication

• Problem-solving

8. Attention to detail

Working in data governance requires accuracy because you must adhere to standards and regulations. Sometimes this can involve working with small details that could have big consequences if you miss them. Your role will involve collecting, storing, managing, and processing data in a way that is safe and consistent and complies with data governance laws and regulations, and this requires a keen eye for detail.

9. Leadership

As a data governance professional, you must be able to lead teams, and your job will involve teaching others, persuading stakeholders, and ensuring that everyone is following governance standards within your organization. You will play a lead role in ensuring that your organization can use data for decision-making because it is accurate, safe, and compliant.

How to build skills required for data governance

To begin your data governance career, a bachelor’s degree in a major such as computer science, data management, or information technology is a strong way of building data governance skills through both theoretical and hands-on experience. To further develop your skills for a higher-level data governance position, you might consider earning a master’s degree in data analytics or cybersecurity. This way, you can choose an area of data governance that allows you to expand on the specific skills that interest you.

In addition to a degree, you can build your data governance skills with online courses and certifications. Options to consider include:

• CompTIA Data+ certification

• CompTIA Project+ certification

• Chartered Data Scientist (CDS) certification

• IBM Data Management Professional Certificate

• AWS Security, Compliance, and Governance for AI Solutions

While education and courses are great for bolstering your resume, consider building your practical experience too. Obtaining entry-level data analyst or data entry roles and attending events and conferences can help you build your data governance skills, cementing them further.

Who hires data governance professionals?

Data governance is important for any business or organization that stores, manages, or uses data to drive decision-making, which means you can find data governance jobs in most industries. With the introduction of artificial intelligence (AI) technology, data governance is becoming an increasingly important factor, as AI and considerations around bias and ethics present new challenges. Some examples of industries where data governance is a particular consideration include:

• Health care

• Government agencies

• Finance

• Manufacturing

• Retail

• Technology

• Computer systems design

• Software publishing

Will AI replace data governance?

AI won’t replace data governance. Instead, it will affect the policies and procedures governing data governance to address the new challenges AI presents, such as the potential for bias and a lack of transparency.

Data governance jobs

Working in data governance can be an interesting and rewarding career, with a good job outlook and high salaries. According to the US Bureau of Labor Statistics (BLS), careers in data management, such as database administrators and data architects, have a positive job outlook of 4 percent, and earn a median annual salary of $123,100 [1]. Explore the skills you need to begin a career in data governance and the types of jobs available in this field.

As the industry options for data governance are vast, you’ll find a range of data governance jobs available to you if you have the right data governance skills, education, and experience. Examples of data governance job roles and average total pay include:

• Data governance manager: $157,000

• Data governance analyst: $132,000

• Data architect: $180,000

• Data center infrastructure manager: $185,000

• Database administrator: $107,000

• Data governance specialist: $125,000

• Database developer: $115,000

• Data governance lead: $181,000

*All salary information represents the median total pay from Glassdoor as of July 2026. These figures include base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

Explore our free data governance resources

Subscribe to our weekly LinkedIn newsletter, Career Chat, for updates on popular skills, tools, and certifications. Then, check out some of our other free resources to help you develop relevant skills for data governance:

• Watch on YouTube: A Beginner’s Guide to Cloud Security

• Take the quiz: Which SQL Course Should You Take? Find Out in 1 Minute

• Study key terms: Data Science Terminology and Definitions

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