Key Tasks of a Digital Transformation Manager

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The tasks of the chief digital reformer in government structures have their own characteristics compared to commercial ones. Of course, parallel tasks are also presented in the commercial sphere:

Conducting and managing the execution of a digital transformation strategy.

Presenting an initiative to optimize the company's operational processes.

Formation of a unified technological course for IT infrastructure.

Coordination of the creation of a set of measures to ensure data availability, increase the reliability of solutions and uninterrupted provision of services.

Development and implementation of portugal email list innovative solutions for the effective implementation of key company tasks using advanced technologies.

Creation and strengthening of the digital component in the corporate culture of the enterprise.

Key Tasks of a Digital Transformation Manager

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Depending on the size and goals of the organization, a digital transformation specialist may handle different aspects of the job. Some companies may focus on the application of advanced technologies, while others may focus on data analysis. In government agencies, the role of a digital transformation specialist is clearly defined:

he develops and coordinates the strategy for digital modernization of the department and the industry within the framework of interaction between various bodies;

organizes, coordinates, manages and is responsible for the implementation of the digital transformation program;

structures, controls and manages the processes of optimizing the company’s activities, and is responsible for the final result;

provides a unified technical strategy for the creation, maintenance and development of information systems and IT infrastructure, and also organizes flawless data migration from historical systems;

is responsible for the efficient use of budgetary funds allocated for the implementation of the overall technical strategy;

agrees on a full range of measures to ensure the availability of data for the provision of electronic services and decision-making based on them;

manages the development and implementation of a comprehensive set of measures for the consistent transition to the use of domestic software, technology and a unified development environment;

coordinates the development and implementation of a series of activities to increase sustainability and ensure continuity of service delivery in electronic format, including the phased implementation of standard cloud solutions;

develops and implements a service model for consuming resources for storing data and infrastructure, taking into account methods and means of ensuring information security;

organizes the process of analyzing proposals for changes and amendments to legal acts related to digitalization;

Manages the activities of the unit responsible for digital transformation (including structures subordinate to the organization);

arranges and maintains a feedback mechanism with the population, commercial structures and the expert community.

So, the CDTO Digital Transformation Manager is a strategic leader focused on stimulating the company's growth through the implementation of innovative concepts and products. It is important to note that not only technological solutions contribute to achieving the set goals. The use of a process approach, the use of Agile project management methodologies, analytics and marketing are also key tools for digital transformation.

For CDTOs, the focus is on big data technologies, the Internet of Things, machine learning and other artificial intelligence methods as tools to achieve strategic goals of developing new business opportunities. For CEOs and chief information officers, data is critical.

At the same time, for the head of digitalization, corporate information is an important asset, while for the chief data officer it is the main subject, for the quality of which he is responsible.

A digital transformation leader may not be able to provide comprehensive answers to questions about Apache Hadoop, installing Kafka on Kubernetes, or implementing Spark machine learning. But they will be able to detail how these and other Big Data technologies can benefit businesses by increasing revenue and reducing costs.