The Power of DX: Transforming Culture with Technology

-Manager Kim Soo-jin, Data Science Team

 

Q. What kind of work do you do in the Data Science Team?

A. The Data Science Team is the only organization at Hyundai Transys dedicated to data and AI. Within the team, the DX Lab—where I work—is responsible for developing and operating AI-based services, driving digital transformation

 initiatives, and providing staff training.
One of our flagship projects is the in-house generative AI chatbot, “Chat-T.” It began as a tool integrated with the

Teams messenger platform and has since expanded into a web-based version, now accessible even at our overseas offices. I’ve been involved since the early development stage, and it has been especially rewarding to see it evolve into a tool applied across more and more areas, continuously shaped by employee feedback.

 

 

 

Q. What led you to work in an emerging field like DX and AI?

A. My major, e-Business, is essentially a program that combines IT and business administration. I wasn’t particularly

drawn to management courses such as accounting or marketing, but I found the Python-based data analysis classes really interesting. I enjoyed working with data, uncovering insights, and experiencing that incredible sense of accomplishment when I finally solved an error that had stumped me for a long time. Since many of my on-campus and extracurricular activities also centered on data analysis and coding, I think it naturally guided me toward my current role. 

 

 

Q. So you’ve always been excited about solving problems and driving change through technology.

A. Exactly. The DX change management and training work I do now follows a similar path. Back in college, I was part of the Education Planning Team in the IT Management Society, where we designed programs to help non-IT majors learn AI and Python more easily. Today, my audience has shifted to employees, but my focus is still on making technology more accessible and practical for those without a technical background. Our team also isn’t limited to developers—we have individuals from business, industrial engineering, and other fields. This diversity allows us 

to share a wide range of perspectives and ideas, making our approach more realistic and convincing.
  

 

 

Q. The Data Science Team was established fairly recently, wasn’t it?

A. That’s right. I first joined Hyundai Transys as a conversion intern, and I’m now in my fourth year as a full-time employee. In my first year, the Data Science Team was promoted from a working group under the ICT Planning Team to an independent department. Before that, the team was small, with only a limited number of projects. The infrastructure was minimal, so most of our work focused on pilot applications at a few plants. 

Today, however, our team has grown significantly, and our project scope now extends globally to overseas subsidiaries. The timing of my transition from intern to full-time employee happened to coincide with the team’s growth, which 

made the experience feel all the more special.

 

 

Q. What is the team culture like?

A. We have an open and horizontal team culture. Anyone can share ideas regardless of position, and even suggestions from junior members like myself are often reflected in actual projects. Since our field requires us to keep pace with rapidly evolving technologies, we frequently hold brainstorming sessions—with our team leader and even executives actively joining to explore new possibilities. Although our team isn’t very large, we have a clear understanding of each other’s roles. This allows collaboration to flow naturally, and I believe that’s another one of our

strengths. 

 

 

 

Q. When do you find your work most fulfilling?

A. I feel most fulfilled when DX training sessions or programs receive positive feedback from other employees. Hearing comments like, “This feels more practical than the ones at other companies” or “This training really feels tailored to our organization” makes me very proud. I also find great satisfaction in seeing services I’ve worked on—like Chat-T—being actively used in the workplace.

Looking ahead, once technologies such as Model Context Protocol (MCP) are introduced, the impact will extend beyond simply providing answers. Employees will be able to experience tangible changes in their on-site work. Preparing for and contributing to that trend is a strong source of motivation for me.

 

 

Q. What does your morning routine look like after arriving at work?

A. Since our team culture is quite flexible, everyone tends to start the day in their own way. For me, I usually grab a quick breakfast at the cafeteria and eat at my desk before checking whether the automated quality monitoring system ran smoothly overnight. This system collects posts from automobile enthusiast communities—a task that quality staff once had to perform manually every day. Now, with automation in place, the quality team can detect 

both major and minor field issues at an early stage.

 

 

 

 

 

 

Q. How do you usually spend your time after work?

A. I tend to relieve stress through exercise. I’ve been doing CrossFit for more than two and a half years, and I recently started running as well. What began during a personally difficult time has now become an essential part of my daily routine. There’s nothing quite like it when it comes to giving my mind a break. In addition, I enjoy unwinding by watching content on OTT platforms or cooking.

 

 

Q. What kind of changes do you want to pursue as a DX manager?

A. I believe our company’s DX journey has progressed from the early stage into the mid-stage. Going forward, 

our team’s goal is to build a culture where every employee can approach new technologies like AI with ease and confidence. If we can create services that employees naturally and frequently use in their daily work—so much 

so that they find themselves thinking, “AI? This is actually more useful than I expected”—I would consider 

that a small but meaningful achievement.
For me, it’s not just about introducing new technology; it’s about gradually transforming the way we work. Personally, I’m very interested in laying the foundation for DX to spread beyond select departments and become embedded across the entire organization. I would like to see small DX leaders emerge within each department, helping the culture take root and grow into a self-sustaining movement. In the long term, I hope to expand my career into professional 

consulting, where technology can be integrated seamlessly into a people-centered organizational culture.

 

 

 

“After hardship comes happiness.” The more challenging a project is, 
the greater the sense of accomplishment and confidence I gain once it’s completed.

 

 

Q.  How would you define your work and life at the company in a single phrase?

A. For me, work is the process of living out the saying, “After hardship comes happiness.” The more challenging a project is, the greater the sense of accomplishment and confidence I gain once it’s completed. I’ve also learned a great deal while working with Senior Managers Lee Jae-hyung and Song Min-kyu of the DX Lab, who played key roles in bringing Chat-T to life. Going forward, I hope to continue working with them to help DX take root naturally 

across the company and achieve meaningful results together.