Office Hours with Tomasz Tunguz
Office Hours with Tom Tunguz & Philip Zelitchenko
Dec 18, 2023
In this engaging conversation, Philip Zelitchenko, VP of Data and Analytics at ZoomInfo, shares his insights on structuring data teams like software engineering teams. He discusses the importance of treating data as a product and introduces innovative frameworks for data governance. Zelitchenko also addresses the challenges of data integrity, the significance of metrics in defining data value, and the role of effective communication tools in team collaboration. He emphasizes the need for modern data solutions that adapt to its evolving nature.
43:06
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Quick takeaways
- Shifting data teams to mirror software engineering structures aids in delivering valuable data products rather than just transactional outputs.
- Implementing effective data governance ensures quality and compliance while proactively integrating policies into the development lifecycle to maintain data integrity.
Deep dives
Shifting Data Teams to Product Management Structures
Data teams are increasingly being structured like software engineering teams, focusing on delivering data products that provide long-term value rather than just transactional outputs. This shift stems from the realization that traditional data practices often lead to misaligned functions, resulting in valuable insights that remain untapped or underutilized. By adopting principles from product management, teams can prioritize their efforts on creating data products that serve the organization better. Such a structured approach allows for consistent value measurement and more effective resource allocation within the data team.
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