Recruiter's Glossary

Examples: Statistical Analysis • Data Storytelling • Data Mart

Data Governance

Term from Data Analytics industry explained for recruiters

Data Governance is like creating and enforcing rules for how an organization manages its data. Think of it as establishing guidelines for how data should be collected, stored, used, and protected – similar to how a library has systems for organizing and checking out books. This role helps ensure data is accurate, secure, and used properly across the company. It's becoming increasingly important as companies collect more data and need to follow privacy laws and regulations. This field combines business understanding with data management to help companies make better decisions using reliable information.

Examples in Resumes

Implemented Data Governance framework reducing data quality issues by 40%

Led Data Governance and compliance initiatives across 5 departments

Developed Data Governance policies aligned with GDPR requirements

Created company-wide Data Governance Program improving data reliability

Typical job title: "Data Governance Specialists"

Also try searching for:

Data Governance Manager Data Governance Analyst Information Governance Specialist Data Quality Manager Data Steward Data Governance Lead Data Management Specialist

Where to Find Data Governance Specialists

Professional Organizations

Online Communities

• Reddit r/datagovernance
• LinkedIn Data Governance Professionals
• Data Quality Pro

Job Resources

• Data Jobs on LinkedIn
• Indeed Data Governance Jobs
• Data Management Association Career Center

Example Interview Questions

Senior Level Questions

Q: How would you implement a data governance program in an organization that has never had one?

Expected Answer: Look for answers that discuss assessing current data practices, getting leadership buy-in, creating policies and procedures, establishing roles and responsibilities, and developing a phased implementation plan. They should mention stakeholder communication and change management.

Q: How do you measure the success of a data governance program?

Expected Answer: Strong answers should include metrics like reduced data errors, improved data quality scores, faster data issue resolution times, increased compliance rates, and positive feedback from stakeholders. They should also mention ROI in terms of time and cost savings.

Mid Level Questions

Q: What are the key components of a data governance framework?

Expected Answer: Should mention policies and procedures, roles and responsibilities, data quality standards, security measures, and compliance requirements. Should also discuss tools and processes for monitoring and maintaining data quality.

Q: How do you handle resistance to data governance initiatives?

Expected Answer: Look for answers that focus on communication, demonstrating value through small wins, addressing concerns proactively, and involving stakeholders in the process. Should emphasize education and training.

Junior Level Questions

Q: What is data governance and why is it important?

Expected Answer: Should explain that data governance ensures data is managed properly through policies and procedures, making it reliable for decision-making. Should mention benefits like better data quality, security, and compliance.

Q: What is a data steward's role?

Expected Answer: Should describe how data stewards are responsible for maintaining data quality, implementing governance policies, and acting as a bridge between technical and business teams.