The Future of Data Scientists and Data Engineers: How Data Teams Must Change
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
The Future of Data Scientists and Data Engineers: How Data Teams Must Change
-
Narrated by:
-
By:
In this episode of Data Analytics Chat, we’re joined by Phoenix Pei, SVP, Analytics Manager at Truist, to explore how the roles of Data Scientists and Data Engineers are changing in the age of AI and automation.
Phoenix explains why trust, leadership alignment, and business understanding are becoming more critical than technical skills alone, and how generative AI is reshaping how data teams work. We discuss which skills will matter most in the future, why so many data initiatives struggle to deliver impact, and how organisations should rethink team structure and collaboration to stay relevant.
A practical conversation for leaders and practitioners who want to build data teams that actually deliver value in an AI-driven world.
00:00 Introduction to Scaling Analytics and AI
00:50 The Role of Leadership in Data Science
01:24 Exploring the Future of Data Roles
01:46 Guest Introduction: Phoenix Pei
02:18 Phoenix's Career Journey and Insights
09:34 The Evolution of Data Roles with AI
11:08 The Importance of Business Understanding in Data Science
24:54 Challenges in Data Science Implementation
25:07 Leadership Alignment and Data-Driven Decisions
33:53 Preparing Data Teams for the Future
37:17 Conclusion and Final Thoughts
Thank you for listening!