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
- Lightning talk
$1B in transactions, 1 minute latency: dbt as production banking infrastructure
Scott Ziolko / KeepView session - Hands-on lab
Scaling trusted self-service for dbt stakeholders
Kyle Tuft / dbt LabsMatteo Dijoux / dbt LabsView session - Lightning talk
More than a data-delivery service: becoming a trusted advisor to your stakeholders
Paige Berry / dbt LabsView session
