Manager: ”Being an active part of the Data Management CoE community is contributing to me becoming better at my job”

We meet with Sine Abildgaard Rosenberg, Manager and local CoE (Center of Excellence) lead in the Data Management (DM) CoE, for a talk on why she chose to become an active part of the CoE.  The Netcompany Centre of Excellence is an internal knowledge-based community that covers everything from specific technologies to methodology — e.g., Java, data migration, Oracle, and high-quality coding. In the Data Management CoE, the cross-country knowledge sharing helps to increase the sense of an international Netcompany data management community.

What types of activities do you contribute with in the CoE, and what have you gained from this yourself?

Through the Data Management CoE, and the various projects I have been assigned, I have met a lot of talented, and inspiring colleagues who are passionate about data and delivering valuable data projects. In addition to talking about data challenges over a Friday Social, or more formally over Yammer, we meet regularly after work and share knowledge through Labs or Talks. I have facilitated some of these events myself but am now primarily responsible for reaching out and making sure that we get new, exciting DM Labs and Talks in the CoE calendar. At Labs, the instructors have prepared exercises in DM relevant tools, and we eat pizza and catch up in between presentations. The DM CoE Talk is a slightly newer concept that has been especially well-functioning during the pandemic where we could not meet physically for the Labs. At a DM CoE Talk, a short presentation on a data relevant topic is given which is then followed by questions and discussions. Being an active part of the strong Data Management CoE community, reflected by people continuously attending, is contributing to me becoming a better Data Consultant. Also, the CoE directly benefits my clients as I can quickly find the right person from the CoE to ask whenever I need help with a (technically) challenging task.

How does the CoE facilitate knowledge sharing across the countries?

We have held both Labs and Talks across the countries. For example, colleagues in both Poland and the UK have contributed with DM CoE Talks, which are in general held virtually and in English so that everyone can participate. This cross-country knowledge sharing helps increasing the sense of an international Netcompany data management community and is ensuring better use of the data competences across national borders.

What is it like to co-lead the CoE on Data Management?

I have had the main responsibility for arranging the DM CoE Labs and Talks the last couple of years with help from many other dedicated colleagues. It feels good to contribute to strengthening the knowledge sharing within the CoE, and it is rewarding to see the great support for these initiatives from both new and experienced data consultants. In addition to the Talk and Lab work, I help the Global CoE Lead with other ad hoc CoE tasks. I have also contributed with an Accelerator and recently taken the initiative to create an cachine learning portfolio slideshow where we collect Netcompany delivered machine learning and AI cases so they can be used in e.g., sales presentations to customers.

Why are the CoEs important?

The CoE creates a common professional community where everyone is provided with the opportunity to reach out for a helping hand. The CoE also enables the employee to make active contributions; to build an expert profile in one of the CoE areas and thereby influence their own career in Netcompany. Every year, Netcompany wins both larger and more complex data projects, and I’m convinced that the DM CoE plays a major role in this success – and that Netcompany probably has one of the best Data Management competences in Denmark.

Sine’s career path:

During the last year of her veterinary studies from the University of Copenhagen, Sine preferred to sit in front of a computer and extract knowledge from data during her thesis. Instead of working as a veterinarian, she aimed at becoming a researcher and started as a scientific assistant at DTU. Here, she received funding for a Ph.D. where she built Machine Learning models that can predict whether chemicals have endocrine disruptive properties in mammals, including humans. These models are applied by the Danish Environmental Protection Agency to this day.
After finishing her Ph.D., Sine continued as a Postdoc, but knew very well that the academic path was also not for her to follow. She therefore looked for positions as a consultant and came across a job posting as a Data Consultant in Netcompany.
Sine applied for the job, got it, and has since then felt that she found her ideal job and workplace. With continuously more responsibility and new challenges, Sine enjoys the pace and work climate.

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