Office Hours with Tomasz Tunguz Office Hours with Tom Tunguz & Philip Zelitchenko
22 snips
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.
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Data Products Over Spreadsheets
- Philip Zelitchenko's data team structure is inspired by Marty Cagan's product-focused approach.
- He aims to shift from transactional data work to building valuable, long-term data products.
Structuring Data Teams
- Structure data teams like software teams with data product managers (DPMs) acting as quarterbacks.
- DPMs write Data Product Requirement Documents (DPRDs) and gather requirements from stakeholders.
DPRDs vs. PRDs
- Data Product Requirement Documents (DPRDs) resemble software PRDs but address data's unique stochastic nature.
- Data's dynamic nature requires governance to manage quality and access control.
