Stephen Bailey, a seasoned data leader and experienced data engineer, joins us to discuss his journey in data and tech. From his academic background in neuroscience to his current role at Whatnot, Bailey has consistently pushed the boundaries of data-driven innovation.

We delve into his insights on the challenges and opportunities in the modern data landscape, including details into the problem solving skills developed in his PhD program, how he got his start in technology, a fascination with low tech problems in non-profits and the impact of AI on data engineering roles. Bailey shares his thoughts on how to navigate the complexities of AI in the workforce and how to remain relevant in the ever-evolving data space.

Throughout the conversation, Bailey emphasizes the significance of human-centered approaches to data, emphasizing the need for strong collaboration between data teams and business stakeholders.

He even discusses why the CEO is like “the best analyst in the business” which is an enlightening part of the discussion, and a refreshing perspective.

As a prolific writer, Bailey shares his motivations for blogging and how he uses it to explore the intersection of data, technology, and society. His Substack, "Data, People, Etc.," offers insightful commentary on a range of topics, from data ethics to the future of work.

Ultimately, this episode provides valuable insights for data professionals seeking to navigate the complexities of modern data landscapes, embrace emerging technologies, and build strong, data-driven organizations.

Find Stephen on his Substack: https://stkbailey.substack.com/