Summary of How to build your data team like a community

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00:00:00 - 00:15:00

In order to build a data team that functions like a community, the speaker says it is important to establish a sense of identity and belonging, a shared purpose, and autonomy among team members. This can be done by setting clear expectations, sharing knowledge, and upskilling employees. The leader should also embody accessibility, equity, motivation, and supportiveness.

  • 00:00:00 The speaker at this event is discussing how to build data teams like communities, and provides five characteristics of a community. These include a sense of identity and belonging, shared purpose, and autonomy. Each of these is discussed in greater detail, and how to build them in an intentional space is provided. Two examples are provided of how these can be accomplished on a team - through career conversation and sharing personal highlights - and how they are important for remote teams.
  • 00:05:00 The speaker discusses how to create intentional space in a team by setting clear expectations, sharing knowledge, and upskilling employees. They also share a story about a difficult meeting where everyone communicated and resolved issues.
  • 00:10:00 The author discusses five character traits that community leaders should strive to embody, including being accessible, equitable, motivating, and supportive. He provides an example of how he exemplifies each trait in his own leadership style. Finally, he encourages readers to create and share these expectations with their team, and to ask questions to better understand individual team members.
  • 00:15:00 The speaker discusses how to build a data team, emphasizing the importance of setting clear expectations and leading with empathy. She reveals that HubSpot is hiring engineers and data scientists, and invites anyone interested to inquire in the slack channel.

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