Head of Technical Support

Data Science UA

Location
Not specified
Employment
Full-time
Level
Specialist
Category
IT Support & SysAdmin
Posted

Description

Data Science UA is a service company with extensive experience and expertise in Data Science and AI. Our history began in 2016 with the launch of the first Data Science UA conference, which laid the foundation for our further development. Over the past 9 years, we have built the largest Data Science community in Eastern Europe.

About the Client

Our client started its business in 1996 by manufacturing metal and glass architectural structures. Today, the company has grown into a high-tech manufacturing complex that designs and produces turnstiles, road blockers, bollards, fire-rated doors, gates, and hatches.

The company has international offices in Kyiv, London, and Dubai, as well as 23 official brand representatives worldwide. Its products have been implemented in 30,000+ projects across more than 100 countries.

About the Role

We are looking for a Head of Service & Technical Support to join the team in the Kyiv office

Requirements

Higher technical education;

At least 3 years of experience managing a service or technical support function;

Proven leadership skills and experience managing teams;

Strong understanding of electromechanical systems and access control equipment;

Experience delivering training and technical programs for engineering and technical specialists;

Fluent English; knowledge of additional languages will be an advantage;

Willingness to travel internationally and work in a multicultural environment.

Key Responsibilities

Lead global service and technical support functions for B2B clients and partners;

Develop and improve service processes, incident management, and service quality control;

Develop and motivate the team, fostering a culture of leadership and customer focus;

Organize and deliver technical training, webinars, and certification programs for employees, distributors, and partners;

Coordinate collaboration with R&D, manufacturing, sales, and logistics teams;

Analyze the root causes of product failures and implement measures to improve product reliability;

Strengthen the brand’s international reputation and competitive position.

Apply at the source

This role was published by Data Science UA and listed via Djinni. Applications are handled there, not on this site.

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