How Data Roles Will Change in 2023?

Posted 6/3/2023 by Arianna Adamo


Data professionals are no longer just engineers. To excel in this growing field, they must also develop deep understanding of consumer needs and core business operations.


They need to become experts in the nuances of a company’s operations in order to recommend the best solutions and technologies. They must be skilled in understanding how their data insights can aid in the development of products and services.


To be successful in data roles, professionals must also be able to explain complex data issues in a language that non-technical people can understand. This means being able to clearly explain the value of data and its implications for the business. We can see the emergence of data storytelling roles: Data storytelling involves using data to create compelling narratives that communicate insights and drive action. In 2023, we might see the emergence of data storytelling roles that focus on creating engaging visualizations and presentations to convey complex data in an understandable manner.


Data professionals must also stay up to date on the latest trends and technologies. By having a comprehensive understanding of data and its implications, they will be able to make better informed decisions and create more impactful solutions. With the increasing use of automation and AI tools in data processing and analysis, data roles in 2023 may involve a greater focus on managing and leveraging these technologies. Roles may involve developing and implementing AI and machine learning algorithms, as well as ensuring that automated systems are functioning correctly and providing accurate results.


These are the top 5 ways data roles will change in 2023:

1. The Role of Chief Data Officers Will Expand

Data roles should not be limited to only chief data officers and subordinates. It is vital for all employees in an organization to use and manage data as an integral asset needed to run a business effectively.


2. Data Engineers Will Become Vital to Data Management

Software engineers must start considering themselves as part of data-based businesses rather than just engineering employees in a company.

Data engineering is essential, especially for businesses opting for data mesh approaches, as data is considered an asset that requires dedicated management efforts for the duration of its use.


3. Regulation and Data Culture Challenges Will Remain Prevalent

Regulation strategies are more likely to be efficient when carried out in an organization-wide approach rather than a separate regulatory strategy for each department in the organization that handles data assets.


Organizations will need to establish clear guidelines and processes to ensure that data is collected, analysed, and used in an ethical and responsible manner. Data ethics and governance roles may involve developing and enforcing policies, as well as educating employees on ethical data practices.


4. Data-Driven Approaches Will Support Autonomous Finance Operations

According to a 2023 Gartner report, more than 40% of all finance-related roles will go through notable changes in the next three years due to cutting-edge technology availability. Autonomous financial data structures will provide organizations with integrated, insight-rich data on demand. These structures will be highly scalable and agile, and all processes will be AI-enabled and digital in their default state.


5. Unified Departmental Decision Making Will Drive Data Strategy Overhaul

Data strategies globally will go through significant changes in 2023. Organizations will increasingly seek unified operations and decision-making between departments about how data will be used. These roles will focus on using data to drive insights and inform decision-making. Data scientists and analysts will be responsible for collecting, cleaning, analyzing, and interpreting large data sets to extract valuable insights.




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