Non-Brand Data

Non-Brand Data

Share this post

Non-Brand Data
Non-Brand Data
Should You Stay Technical or Transition into Management?
Copy link
Facebook
Email
Notes
More

Should You Stay Technical or Transition into Management?

Navigating career choices in Data Science from my personal experience

Cornellius Yudha Wijaya's avatar
Cornellius Yudha Wijaya
Nov 17, 2024
∙ Paid
5

Share this post

Non-Brand Data
Non-Brand Data
Should You Stay Technical or Transition into Management?
Copy link
Facebook
Email
Notes
More
1
Share
Should You Stay Technical or Transition into Management?
Image by Author | Ideogram.ai

Every career journey has a pivotal moment when you face a crucial decision: Should you stay on the technical path, honing your expertise and diving deeper into the art? Or is it time to transition into management, where you’ll lead teams, shape strategies, and drive broader impact? The data science career path is no different.

This question isn’t just about your next promotion or pay raise—it’s about defining the role you want in your professional life.

Many professionals, especially in data science, find it difficult to choose. Both paths offer unique rewards and challenges. The decision often comes down to understanding one's strengths, passions, and long-term goals.

In this article, we will explore the pros and cons of both paths and critical factors to consider before making your choice. I will also base it on my experience, so let’s get into it!

Non-Brand Data is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.


Keep reading with a 7-day free trial

Subscribe to Non-Brand Data to keep reading this post and get 7 days of free access to the full post archives.

Already a paid subscriber? Sign in
© 2025 Cornellius Yudha Wijaya
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share

Copy link
Facebook
Email
Notes
More