Data scientists and data science managers, how many people are on your team? How often do you directly collaborate with your teammates, and what sorts of projects do you tend to collaborate on?
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I also work with 2-3 other adjacent DS managers on strategy, coordination, and hand-off of technical output between our groups
For your 4 directs, who are their typical stakeholders? Is there overlap in their work streams, or are they mostly sharing methodology with their teammates?
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I am also very curious how coordination works with your peer managers! Do you have a shared roadmap amongst you?
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when there's a big enough project where we're all involved, that means there's usually a larger x-fnl team with a lead PM who helps coordinate. it is tricky though, bc work allocation between teams is a function of both bandwidth, subject matter expertise, and technical expertise
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we're a delivery company and my team's main stakeholder is our ops / logistics team, although we do support other orgs in various capacities. my reports overlap mainly where one person might have certain technical skills but lack subject matter expertise and vice versa.
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this is a function of my team being very small, each person being fairly specialized, and the benefit of having a clear point-of-contact for our major efforts (i.e. one person owns infra, one person owns forecasting, one person owns cost-to-deliver analytics)
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