How to Build a Good Data Platform: Insights from Tencent’s Senior Product Manager
This presentation shares the speaker’s experience and practical methods for creating an effective data platform, covering the transition from technical roles to product management, deep understanding of data workers' needs, Tencent Oura asset‑factory practices, a product‑management methodology, and a Q&A session that addresses governance, performance, and engineering challenges.
The talk begins with an overview of the speaker’s background—graduating in computer software, working as a developer, and later transitioning to a data‑platform product manager at Tencent—highlighting the personal and external factors required for moving from technology to product.
It then outlines five core sections: (1) thoughts on converting technical expertise into product thinking; (2) a deep dive into the needs of data workers, emphasizing the importance of data assets, metadata management, and the limitations of existing tooling; (3) the practical implementation of the Oura Asset Factory, a DataOps‑driven, one‑stop data‑asset development platform that integrates planning, development, debugging, release, and operations; (4) a product‑management methodology for data platforms, stressing innovation, balancing standards with efficiency, and user‑centric strategies; and (5) a Q&A that discusses data model iteration, governance of legacy quality issues, performance gains from Presto, and the relevance of software‑engineering practices such as DevOps in DataOps.
Key takeaways include the need to assess suitability for product transition, adopt a data‑asset mindset, embed governance early in the production pipeline, leverage automated quality monitoring, and continuously measure platform impact through user growth, retention, and operational metrics. The session also stresses the importance of cross‑functional collaboration, user‑focused product design, and ongoing skill development for product managers in the data domain.
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