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Whether internal or external, big data involves a vast amount of information to manage.

The data manager is responsible for this extensive and rich data source.

Data refers to all the digital information collected on the web or other platforms… Today, it is essential for artificial intelligence, business management, and the development of new offerings.

Presentation and responsibilities of the Data Engineer

The data manager, also known as the data management officer or chief data officer, is the official person in charge of a company’s big data. They work with people from all departments, as they manage both external information and internal information that is less frequently discussed. Examples include personnel data in HR departments or job applications...

His mission is to make data more accessible. Understanding how data can benefit different stakeholders helps him determine the best organizational structure. He develops a big data governance strategy. Working at the intersection of statistics, strategy, and IT, they create databases and establish connections between them. They collaborate with other departments within the company (finance, HR, marketing, production, etc.) as well as with data professionals (data scientists, data engineers, data analysts, etc.).

The data manager’s primary responsibilities include collecting, organizing, managing, updating, and securing data, as well as compiling statistics. For example, as part of a medical research project, the data manager may be responsible for managing clinical trial data.

Business implications

Pharmaceutical companies, banks, insurance companies, and polling firms were among the first to hire data managers.

The profession is now present in all sectors: e-commerce, public organizations, recruitment and staffing agencies…

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Ethical implications
When we talk about big data, we inevitably also have to talk about ethics. The storage and use of data are now regulated. Data managers are familiar with these issues. Data and AI lawyers and ethics officers help them gain a deeper understanding of them.
Aivancity's programs incorporate all aspects of artificial intelligence and its challenges, whether technical, technological, commercial, ethical, or legal, into their teaching. These comprehensive, hybrid courses enable future engineers to acquire the highest level of knowledge and a broad range of expertise.

Key skills

Monitoring, organizing, and optimizing the use of big data requires a great deal of rigor and focus. For the chief data officer, quickly grasping the data-related challenges facing the company is essential. This enables them to compile statistics.

Proficiency in information systems is an essential part of the job. The ability to listen, strong interpersonal skills, and a team-oriented mindset contribute to success. Analytical skills, logical reasoning, and the ability to synthesize information are required. Discretion is, of course, essential given the confidential nature of certain data.

The data manager also plays a strategic role: they must anticipate changes in their industry to stay one step ahead in managing data (focusing on a particular trend, new statistics, etc.). Keeping abreast of technological developments is second nature to them.

Trends and factors driving change

Data managers work for companies or startups specializing in big data. They may also start their own businesses. One career path involves moving into a managerial role within a department. They may also become an information systems manager or specialize in a specific field—such as healthcare—and pursue a career as a biostatistician.

Data is a dense and complex field. Tools and methods evolve as the volume of data increases. The data manager plays a key role: the effective use of data depends on their ability to synthesize and prioritize information.