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Reimagining Data Teams
In this engaging episode, Amir Bormand interviews Marko Vasiljevic, CTO at Ghost, about the evolving nature of data teams and how businesses can better structure them in a rapidly changing tech landscape. The discussion covers the shift toward more engineering-driven data teams, the influence of AI on team composition, and how businesses can adapt to remain competitive. Marko also highlights the future of self-service data solutions and the decreasing technical barriers for companies of all sizes.
Key Takeaways:
Redefining Data Teams: The need for more engineering-driven data teams as traditional data roles evolve into more technical, systems-oriented functions.
Data as a Product: Viewing data teams as creators of products that support business insights, moving beyond traditional data reporting.
Self-Service Analytics: How businesses can build infrastructure that empowers teams with on-demand data access while reducing reliance on specialized data analysts.
AI-Driven Change: The growing influence of AI in automating technical tasks and shifting the focus toward business-driven problem-solving.
Future of Data Roles: The potential merging of technical and business roles as AI-driven automation reduces the need for deep technical expertise.
Episode Highlights:
[00:00] Introduction – Overview of the episode and guest introduction.
[01:24] Defining Data Teams – How the traditional data team model is evolving.
[03:42] Building Self-Service Data Systems – The path toward more accessible and scalable analytics.
[06:05] DevOps for Data Analytics – Applying DevOps principles to data team operations.
[09:48] Evolving Data Skillsets – Shifting from SQL-heavy roles to full-stack data engineering.
[13:53] AI’s Role in Data Teams – How AI will reshape data and software engineering functions.
[17:29] Business-Driven Data Models – Encouraging product managers to lead tech initiatives.
[21:55] Organizational Impacts – Where technical data roles should report in a modern organization.
[28:33] Competitive Pressures – How automation lowers entry barriers and intensifies market competition.
Don't miss Marko’s valuable insights on building future-proof data teams and staying ahead in an AI-driven world. Like, share, and subscribe for more expert discussions!
Guest:
Marko is a seasoned technologist and CTO who's built and managed engineering, data, product, and design teams at several high-growth startups and unicorns. Marko also founded a few startups and successfully exited one. He's passionate about solving real-world problems with technology, and he is excited about the future of AI.
https://www.linkedin.com/in/marmarko/
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By Elevano
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5252 ratings
In this engaging episode, Amir Bormand interviews Marko Vasiljevic, CTO at Ghost, about the evolving nature of data teams and how businesses can better structure them in a rapidly changing tech landscape. The discussion covers the shift toward more engineering-driven data teams, the influence of AI on team composition, and how businesses can adapt to remain competitive. Marko also highlights the future of self-service data solutions and the decreasing technical barriers for companies of all sizes.
Key Takeaways:
Redefining Data Teams: The need for more engineering-driven data teams as traditional data roles evolve into more technical, systems-oriented functions.
Data as a Product: Viewing data teams as creators of products that support business insights, moving beyond traditional data reporting.
Self-Service Analytics: How businesses can build infrastructure that empowers teams with on-demand data access while reducing reliance on specialized data analysts.
AI-Driven Change: The growing influence of AI in automating technical tasks and shifting the focus toward business-driven problem-solving.
Future of Data Roles: The potential merging of technical and business roles as AI-driven automation reduces the need for deep technical expertise.
Episode Highlights:
[00:00] Introduction – Overview of the episode and guest introduction.
[01:24] Defining Data Teams – How the traditional data team model is evolving.
[03:42] Building Self-Service Data Systems – The path toward more accessible and scalable analytics.
[06:05] DevOps for Data Analytics – Applying DevOps principles to data team operations.
[09:48] Evolving Data Skillsets – Shifting from SQL-heavy roles to full-stack data engineering.
[13:53] AI’s Role in Data Teams – How AI will reshape data and software engineering functions.
[17:29] Business-Driven Data Models – Encouraging product managers to lead tech initiatives.
[21:55] Organizational Impacts – Where technical data roles should report in a modern organization.
[28:33] Competitive Pressures – How automation lowers entry barriers and intensifies market competition.
Don't miss Marko’s valuable insights on building future-proof data teams and staying ahead in an AI-driven world. Like, share, and subscribe for more expert discussions!
Guest:
Marko is a seasoned technologist and CTO who's built and managed engineering, data, product, and design teams at several high-growth startups and unicorns. Marko also founded a few startups and successfully exited one. He's passionate about solving real-world problems with technology, and he is excited about the future of AI.
https://www.linkedin.com/in/marmarko/
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