Career Path Of A Data Manager | Advice For Aspiring Data Managers

Data Management careers have a broader spectrum for Data Managers to move from one position to another, as they work with data. The understanding of data makes them fit for all business and technical –oriented role in the market. Curiosity is a vital trait required in the Data Managers to succeed in Data Management careers.

Nicholas Nuss Data Manager

Career Path Of A Data Manager

  1. Data Producer: Data Management careers are the gateway to anything that has to do with data science. You can reach out in an analytic position or data science position. It will be great if you also know how the data is created. It will make your position to step up if you can produce the information.
  2. Programmer: It will be a great fit to move to the role of a programmer. 
  3. Database Administrator:If you move to Database Administrator role, you would have to look into the environment of the database. You have to ensure that the database is running smoothly. Look into whether all of the databases is working as it is expected. 
  4. Project Manager/Product Manager: Project Manager role will expect you to ensure that the deliverables are come out on time. He/she must ensure that the team is running very well. As Product Manager, you would have to look into what is to be provided to the client by end-of-the-day. As lots of products are data-driven in this age, you will be fit to understand the data that runs behind the scene. 
  5. Business Analyst: A Business Analyst will find out how business processes work and try to improve them with new tools or incorporating new ways. 
  6. Security Position:  Within a couple of years, security positions will be equally huge. You have to follow all the security laws of the country you in your Security Position hold the data. You will be a linchpin within the technical side and business side of a product or service. Data Management careers have various dimensions. So, if a Data Manager will be an excellent fit for both technical and business-oriented role. 


3 Things A Candidate Should Access In An Employer/strong>

  • Investing in the Tools: In Data Management careers, Data Managers work day-in-day basis. You must ask what tools will be provided to you; whether it will be SPSS, DataStage or homegrown tools. You have to understand those tools. Do ask the company whether they provide training. If the company has any of these tools, then you will be stuck with a ton of manual testing and double checking of data. It will take way more time than when the company provides tools. 
  • Culture: Data Management careers can be under-appreciated in many companies. Not everywhere it is seen as prestigious as data analysts or data scientists who are ultimately creating the deliverable that can be sold. But you support the data scientists and data analysts. It is best to get a culture where they see your importance as a Data Manager who supports prestigious data scientists. 
  • Data Type to Work With: For example- for health care data, you will critically responsible for any misuse of any patient data, if you side all the rules. If as a candidate you don’t want to focus on these rules and want to jump into a higher role, it is best to avoid Data Management careers. 


Advice For Aspiring Data Managers For A Successful Career

  • Be Curious: As a Data Manager, you have to handle lots of data. If you can look at those data before it is provided to analysts or data scientist. You can find some great information to push up the chain. 
  • Never Stop Learning: Data is changing in various ways nowadays. New tools are also coming out regularly. You as Data Manager have to stay sharp and focus on the latest things. Blockchain and AI are coming out in this era. These technologies need data for supporting those types of tools. If you have prior knowledge about how AI works and how your data can fit into an AI scheme, it will work as a booster for your Data Management careers. 
  • Troubleshoot: If you encounter a problem, then map out a solution following a hypothesis and securing different variables that don’t change. You must ensure that what you have thought as an issue is an issue. This skill will be invaluable for your career as a Data Manager.