Data governance: trends, salaries and opportunities

In Business Intelligence & Analytics

Diving deep in the field data governance, including its importance, trends, job market, salary, and resume tips.
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Data governance is an essential aspect of any modern organization that deals with data. It is the process of managing the availability, usability, integrity, and security of the data used in an organization. This involves setting policies, procedures, and standards for the collection, storage, use, and sharing of data.

What is Data Governance?

Data governance refers to the overall management of the availability, usability, integrity, and security of the data used in an organization. It involves the process of creating policies, procedures, and standards for the collection, storage, use, and sharing of data. The goal of data governance is to ensure that data is accurate, complete, consistent, timely, and secure.

Data governance involves the collaboration of people, processes, and technology. It requires the involvement of different stakeholders in the organization, including data owners, data stewards, data custodians, and other relevant staff. The policies and procedures established in data governance are critical to ensuring the success of any data-related initiative in an organization.

Importance of Data Governance

Effective data governance is crucial for several reasons. First, it ensures that data is accurate and consistent. This is important for decision-making and for ensuring that business operations run smoothly. Second, it helps ensure that data is secure and compliant with relevant laws and regulations. Third, it helps organizations optimize their data management processes, reducing costs and improving efficiency.

Data Governance Trends

The field of data governance is constantly evolving, and there are several trends that are worth noting.

Increased focus on data privacy and security

With the rise in data breaches and cyber attacks, organizations are taking data privacy and security more seriously than ever. Data governance policies and practices are evolving to better protect sensitive data and ensure compliance with regulations such as GDPR and CCPA.

Greater collaboration between IT and business teams

Effective data governance requires close collaboration between IT and business teams. This includes developing shared terminology and definitions, aligning on data quality metrics, and establishing clear ownership and accountability for data.

Emphasis on automation and machine learning

As the volume of data continues to grow, manual data governance processes become increasingly difficult to manage. Automation and machine learning can help to streamline processes and identify anomalies or potential issues more quickly.

Adoption of cloud-based solutions

With more organizations moving to the cloud, data governance solutions are also moving to the cloud. This allows for greater scalability, flexibility, and accessibility, as well as improved collaboration across teams and locations.

Data Governance Job Market

The data governance job market is strong and growing. According to Glassdoor, the average salary for a data governance analyst is around $86,000 per year in the United States. Data governance jobs are available across a wide range of industries, including healthcare, finance, and technology.

Job Title Average Salary Job Openings Growth Rate
Data Governance Analyst $87,000 1,500+ 7%
Data Governance Manager $112,000 900+ 9%
Data Governance Director $140,000 500+ 12%
Data Governance Architect $130,000 400+ 10%

These statistics are based on data from Glassdoor and are intended to provide a general overview of the data governance job market.

The most common job titles in data governance include data governance analyst, data governance manager, and data governance specialist. These roles involve responsibilities such as creating data policies and procedures, ensuring compliance with relevant regulations, and managing data quality and security.

Data Governance Salary

Data governance salaries vary depending on a range of factors, including location, experience, and industry. According to, the average data governance analyst salary in the United States is around $82,000 per year. The highest-paying cities for data governance professionals include San Francisco, CA, New York, NY, and Boston, MA.

Data Governance Resume Tips

If you're looking to get into the data governance field, there are a few things you can do to make your resume stand out. First, make sure to highlight your relevant skills and experience, such as data analysis, data management, and compliance. Second, emphasize your ability to collaborate with different stakeholders in an organization, such as IT staff, data owners, and business users. Finally, include any relevant certifications or training, such as a Certified Data Management Professional (CDMP) certification.

Example resume for a Data Governance Analyst

Name: Sarah Johnson

Contact Information:


Highly motivated and detail-oriented Data Governance Analyst with 3 years of experience in developing and implementing data policies, procedures, and standards. Skilled in conducting data quality assessments and managing metadata. Strong analytical and problem-solving abilities with a proven track record of success in ensuring data accuracy and compliance.

Professional Experience:

Data Governance Analyst, XYZ Company

June 2019 - Present

  • Develop and implement data governance policies, procedures, and standards for the organization
  • Collaborate with business units to identify data quality issues and provide recommendations for improvement
  • Conduct data quality assessments and implement data quality rules
  • Manage metadata for critical data elements
  • Monitor compliance with data governance policies and procedures
  • Develop and deliver training on data governance principles and practices

Data Analyst, ABC Corporation

January 2018 - May 2019

  • Conducted data analysis and provided recommendations for process improvements
  • Developed and maintained data visualizations and dashboards for stakeholders
  • Managed data quality issues and ensured accuracy of data in company databases
  • Collaborated with business units to identify opportunities for data-driven decision-making


Bachelor of Science in Data Analytics, University of California, Los Angeles

June 2017


  • Data governance policy development and implementation
  • Data quality assessments and rule implementation
  • Metadata management
  • Data visualization and dashboards (Tableau, Power BI)
  • SQL
  • Project management
  • Attention to detail
  • Communication and collaboration


Data governance is a critical discipline for organizations that want to effectively manage and leverage their data assets. By establishing clear policies, processes, and procedures for data management, organizations can ensure that their data is accurate, reliable, and secure. With the increasing importance of data in today's business landscape, data governance is only becoming more critical, and those with skills and experience in this area are likely to find a growing number of job opportunities and competitive salaries.