Liana, how would you describe yourself?
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  • Creative Thinker
  • Volunteer
  • Networker
What is special about working at Infineon?

In Infineon, you feel part of the company early on. Regardless of your interests, personality and preferences, it is likely you will find your dream job here. There are many reasons for this – from the inspiring products that we use daily in our home appliances and cars, through the international environment that is so welcoming, to the supportive team spirit between colleagues. Once you are with Infineon, you want to stay with Infineon.

What are your main tasks?

One of my main tasks is identifying areas for data science applications. I accomplish this by engaging with domain engineers about their challenges and organizing workshops to brainstorm ideas, for example. Also, I have to analyze a bunch of data myself before I can ask a data scientist to develop a solution. It helps me to “translate” the business requirements into data science and find the right solution to a problem. And vice versa: I support domain engineers and management in “translating” the results from analytics solutions into business insights. Finally, I am in charge of coordinating AI implementation projects in manufacturing until handover to full operation.

What are the results of your work?

It depends on your point of view. From a business standpoint, the results are a successfully completed project with a neural network or a regression algorithm implemented in IT infrastructure (for example, for automatic image classification, or forecasting for predictive maintenance). From a human perspective, the result is a happy internal customer – be that a maintenance engineer who could prepare a maintenance task in advance thanks to forecasting, or an operator who does not have to manually classify thousands of images every hour, or a manager who can make a quick decision in between meetings based on valuable insights drawn from data.

What are your job highlights?

I don’t think I’m mistaken in saying that a “Smart Data Expert” – sometimes called an analytics translator – is a relatively new job title, which resulted from the boom in artificial intelligence and digitalization in recent years. Market and industry analyses predict that artificial intelligence technologies will continue to expand widely over the coming years, offering more innovation and creative solutions. And this is what I like about this job: things do not become redundant. Each use case or project for an AI application is like a new expedition and when you team up, you find the treasure.

What are your biggest challenges?

Stakeholder management is one of the more challenging tasks in my job. I have to constantly negotiate with colleagues from different functions, departments and sites. Usually, each stakeholder has their own understanding and expectations, which sometimes contradicts those of others. So to find a win-win solution for all of your stakeholders, you need to build good relationships with them from the very beginning of the project. You should also be able to communicate clearly and negotiate well.

What's something that happened that can only happen at Infineon?

Something special that happened at Infineon for me is the International Graduate Program (IGP), which started my career. Within 18 months, I had the honor of working at 3 locations in Europe and Asia. From the very first day, I received tasks that enabled a quick learning path and allowed me to build strong relationships across different Infineon departments and sites. In addition to the on-the-job training, soft skill and leadership training was provided. It is a very challenging program – like jumping into water without knowing how to swim. But I got constant supervision from my buddy, manager, and mentor. They not only helped me back then to quickly form a big picture of the company and acquire the necessary support, but even now still play an important role in my professional life. I am sure I would not be where I am now without this program. And I would absolutely recommend that graduates start their career with IGP at Infineon.