How to build a successful data career
Data careers are among the fastest-growing roles across global industries. With expectations shifting due to AI and cost pressure, staying career-ready can be more challenging than ever.
In this peer exchange, we will draw on our collective experience in competency matrices, cross-industry transitions, and personal branding to offer a practical roadmap for building a lasting career. Through group activities and conversation, we will explore questions like “Which data skills feel most durable as AI changes expectations for the role?”, “What interview question helped you avoid a bad fit?”, and “How do you make your impact visible and transferable across teams or companies?” This peer exchange is a practical, story-driven pattern swap for building career momentum without defaulting to “just become a manager.”
Check out more sessions
- Breakout session
From prompt to PR: sandbox-validated dbt changes before human review
Niyazulla Khan Pathan / CareemAkash Srivastava / CareemView session - Breakout session
Dismantling the vault: scaling to a data mesh during a 5x merger
Zhen Xing / 74softwareView session - Peer exchange
Building dbt projects in rough terrain: creating a trailguide for dbt pioneers
Jenna Jordan / Ratio PBCView session
