Data governance (DG) is the strategy of overseeing data availability, accessibility, integrity, and security in corporate systems using internal data standards and policies that also control data usage. Data governance guarantees that data is consistent, trustworthy, and not misused. It’s becoming increasingly important as firms confront new data privacy requirements and rely on data analytics to help optimize operations and drive business decisions.
If you’re interviewing for the role of data governance manager, you can anticipate being asked a variety of questions concerning your data management experience and knowledge. You must also articulate how you would establish and implement data governance policies and processes.
1. Do You Understand The Concept Of Data Lineage?
The concept of data lineage is one that I am familiar with. I can identify where data originated from and how it was utilized throughout its life cycle. The fact that this information reveals which departments often use particular data might be helpful. It also informs me of the data sets that require updating or retirement.
2. What Are Some Of The Key Traits Of A Good Data Governance Manager?
A great data governance manager must be well-organized, meticulous, and able to communicate clearly with others. These three characteristics are necessary to guarantee that all stakeholders are aware of their responsibilities within the data management system of the firm. Additionally, I believe data governance managers must have empathy since they frequently have to defend their rules and processes to staff members who disagree with them.
3. What Procedure Do You Use To Make Sure That All Staff Members Are Properly Informed About Updated Data Policies?
I think it’s crucial to have meetings with each department in my organization to go over new policies or tweaks to old ones. I also notify staff members through email when meetings are coming up so they can be ready. I will lay forth the rationale behind the implementation of new regulations and how they will help the company in these discussions. It enables me to cultivate connections with staff members and guarantees that everyone knows the significance of following our data governance principles.
4. Do You Have Any Experience With The Various Models Of Data Governance?
In all the companies I’ve worked for, we’ve introduced various data governance models, such as centralized, decentralized, and hybrid models. It was critical to have one person with the authority to make decisions concerning data administration; thus, in my previous position, I assisted in implementing a centralized model. It allowed me to establish guidelines and standards for all departments, resulting in a more effective system for handling data.
5. What Knowledge Do You Have On Creating And Putting Data Management Policies Into Practice?
In my previous position as a data governance analyst, I was involved in the creation and implementation of several crucial policies for the company’s data management system. One of these policies describes the many levels of sensitive information and who may access each in detail. The data retention policy we implemented decided which data should be kept in our database and for how long. The company’s ability to comply with laws was greatly aided by these two policies.
6. Give An Instance Of A Time You Had To Deal With A Challenging Stakeholder And Describe How You Handled The Matter.
As a data governance analyst, I once worked with a stakeholder who had strong opinions about how we ought to arrange our data. Frequently, he would organize the facts on his own without first consulting me. Because they did not adhere to corporate standards, I found it challenging to implement several of the organizational changes he requested. To tackle this problem, I planned a meeting with him and explained why some procedures had to be left alone. He decided to allow me to continue implementing the organizational structure. I clarified the rationale behind each step, and he acknowledged my point of view.
7. What Are The Key Traits That Make A Good Data Governance Specialist?
I think attention to detail is one of the most essential qualities for a successful data governance specialist. Someone who can carefully evaluate a lot of material and ensure that every detail is precise and consistent is required for this position. The ability to communicate is another crucial trait. To ensure that everyone is aware of what is happening with the organization’s data, data governance specialists must be able to convey their findings to others clearly and concisely. Finally, I believe patience is necessary because there may be instances when you work on a project and don’t immediately see results.
8. How Would You Approach A Group Of Non-Technical Personnel With A Sophisticated Data Governance Concept?
The first thing I would do is define data governance and go over its benefits. I would then offer an example of a situation where data governance was helpful. For instance, in my previous position, a sizable number of staff members were continually requesting access to particular databases. We introduced a data governance policy that mandated a centralized approval procedure for all requests. It allowed us to ensure that only authorized people had access to private information.
9. What Procedures Do You Use To Make Sure That All Of The Data In Your Organization Is Correct?
I begin by compiling a list of all the data sources used by my company. Then I make a spreadsheet where I enter the names of each source, the person who owns it, the kind of data it includes, and the most recent update date. Next, I check each piece of information against information from other sources to determine if there are any discrepancies. If there are, I get in touch with the proprietors to ask them why they haven’t been updating their data.
10. Give An Instance From Your Previous Job Where You Had To Put A New Data Governance Policy Into Place.
In my previous position, I was in charge of developing a new data governance policy for the customer information database of our business. The company had recently bought another company, so we wanted to build a system that would enable us to merge the client databases of both businesses into one without losing any crucial data. I developed a data governance policy that specified precise steps for fusing two distinct databases while protecting client privacy.
11. Do You Know The Concept Of The “Data Lake”? What Are A Couple Of Its Advantages And Disadvantages?
In essence, a data lake is a store for all forms of unstructured data. It is advantageous because it enables businesses to store massive amounts of data without worrying about how to arrange it first. However, employing a data lake has significant disadvantages. For instance, when specific pieces of information are kept in a sizable database, finding them can be challenging. Incorporating fresh data into the lake after it has been produced can also be difficult.
12. What Factors Should Be Taken Into Account While Developing A Data Governance Strategy?
The objectives of the business, the procedures in place, and the data structures that are already in place should be taken into account when developing a data governance strategy. I also consider any legal or regulatory obligations that might have an impact on how the organization manages its data. For instance, in my previous position, I dealt with a client who was mandated to retain all customer data for seven years following the cancellation of accounts. It required us to design a system that would allow for the safe storage of the data while allowing for quick access to it when necessary.
13. What Steps Would You Take To Train Staff On The Best Practices For Data Management?
I would begin by determining the kind of training required based on the requirements of the firm. For instance, I might be required to offer introductory training on data governance principles, advanced training on particular procedures like data integration or cleansing, or both. I would then make a schedule for when each item should be presented and outline the topics that will be covered during the session. Finally, I would do the planned training for the staff.
14. What Would Our Data’s Strengths, Weaknesses, Opportunities, And Threats Be If We Were To Conduct A Swot Analysis On It?
A SWOT analysis is a tool for identifying the data about a company’s strengths, weaknesses, opportunities, and threats. Finding the positive qualities of our current system would be the first step in determining its strengths. The next step would be to examine the system’s shortcomings and potential improvement areas. Then, by considering how we may enhance our current procedures, we would look at the opportunities inside our current system. Finally, by examining the areas that require improvement, we would look at potential dangers within our current system.
15. Which Aspect Of Data Governance Would You Prefer To Concentrate On, And Why?
Data quality is the area of data governance I would concentrate on if I had to. It is because, in my opinion, clean data can be used for a variety of objectives. If our data isn’t clean, we might not use it to provide reliable findings. In my previous position, I was entrusted with coming up with a strategy to raise the data at the organization. I began by looking into other businesses already successful in my field. I then developed a training course for staff members to learn about best practices for data quality.
16. What Would You Do If You Discovered That Two Departments Were Defining The Same Data Term Differently?
In my previous position, I discovered two organizational departments defined the same term differently. I realized that both departments used the term to refer to two different things. I collaborated with both divisions to develop a new definition for the phrase so that it could be used uniformly throughout the entire organization.
17. How Well Do You Comprehend How Relational, Dimensional, And Columnar Databases Differ From One Another?
I’ve worked with relational, dimensional, and columnar databases extensively. All three databases were a daily part of my work as a data governance manager in my previous position. Relational databases are excellent for storing organized data that is simple to retrieve and update. However, they struggle to handle large amounts of unstructured data.
When evaluating enormous amounts of data, dimensional databases are more effective than relational databases. In comparison to relational databases, they also offer superior support for unstructured data. Since they store data in columns rather than rows, columnar databases are excellent at handling massive amounts of data. Finding what you need while sorting through data is much simpler.
18. To Assist Us In Making Better Business Decisions, We Wish To Enhance Our Data Governance Practices. Which Areas Can We Strengthen?
One thing I’d suggest doing better is departmental communication when formulating policies. In my previous role, there were several occasions where several departments interpreted our policies in different ways. We established an email list that all staff members could utilize to inquire about our policies and receive clarification before putting them into practice. It ensured everyone was following the same rules and helped us prevent misunderstandings.
19. If You Discovered A Contradiction Between Two Separate Data Management Policies, What Would You Do?
In my previous position, I discovered a conflicting data management policy addressing the retention of client data. A different policy specified that we should only store client information for one year following their most recent purchase, while the first said that we should maintain all customer information for five years. The boss and I opted to store client information for three years following their most recent purchase after deliberating the matter.
20. Why Are You A Good Fit For This Corporation?
My vast expertise working on data governance initiatives makes me believe I would be a good fit for this business. In my previous job, I was a data governance analyst, and my duties included developing guidelines for how data should be handled within the company. It involved creating guidelines for data security, accessibility, and quality. The prospect of using these skills in this position excites me.
21. How Frequently Should Data Sets Be Archived Or Removed?
Depending on the size of the organization and the quantity of data they have saved, I advise firms to purge their data sets every three years. For instance, because there isn’t much of a requirement for frequent purging, I would advise purging after five years if an organization only has one terabyte of data. However, because maintaining so many different data sets requires more labor, I would advise purging after three years if the same firm had 100 terabytes of data.
22. What Would You Do If You Discovered A New Employee Was Accessing Confidential Information Without The Required Authorization Or Training?
I would initially check to see if a new employee was aware of our training procedures if I discovered they were accessing sensitive data without authority. After informing them of the policy, if they continued to access the data, I would note it and let my supervisor know so that we could talk about the proper disciplinary action.
23. How Well Are You Able To Manage The Pressure Of Handling Many Projects At Once?
I’ve discovered that I can manage stress rather effectively. I frequently worked on several projects at once when I was employed by my previous company as data governance professional. I’ve worked simultaneously on five distinct projects at one point. While juggling everything was difficult, I discovered that if I planned my day and gave my duties a priority order, I could do all my tasks without any problems.
24. What Do You Believe To Be The Main Obstacle Facing Experts In Data Governance?
The most significant challenge that data governance specialists face is ensuring that they are using the appropriate tools for their organization. There are so many distinct software applications available, and each one has unique qualities of its own. Finding tools that best satisfy an organization’s requirements while still being user-friendly enough to be used by everyone can be challenging. I’ve discovered that discussing preferred programs with other professionals can be useful when determining which ones to implement.
25. There Is A Mismatch Between The Number Of Customers Who Have Purchased On The Website And The Number Of Customers Who Have Purchased In Our Customer Database. How Would You Look Into This?
I’d start by checking the customer database to see if any clients hadn’t purchased in the previous six months. If I couldn’t find any customers who hadn’t purchased within that time range, I’d look through the website’s sales history to see if any consumers had made a purchase but weren’t in our customer database.
There are a few typical questions that you can prepare responses to even if you won’t be able to predict every question you’ll in an interview. You could also consider creating an elevator pitch that summarizes who you are, what you do, and what you desire in a few sentences.