#Data

[This is part 3 of a series on managing Data Science teams based on hard won experience running one of the larger data teams in SouthEast Asia from one of its unicorns. YMMV and advice here should be sanity checked to make sure it’s appropriate to both your corporate structure, culture, and situation. No solution is one-size, fits-all. This is to guide CDOs, VPs, and data executives and give an alternative viewpoint on organizing.]

This is part 2 of a series on managing Data Science teams from the trenches and based on hard won experience running one of the larger data teams in SouthEast Asia from one of its unicorns. YMMV and advice here should be checked to make sure it’s appropriate to both your corporate structure and situation. No solution is one-size,fits-all. This is to guide VPs, CDOs, > and data executives and give them a possible alternative viewpoint on unambiguous wins for our teams (and may help you and your organization.).