My goal is to cover the 3Ps: People, Projects and Process. In that order of importance. And my goal is the “50:50” rule.
Are you a newly promoted manager? Or, for those who already are a manager, do you remember your transition coming from a person contributor role? As of the time of writing, I even have been leading data science teams for the past 4 to five years, but I still remember one the my foremost struggles in the beginning of my journey as a manager: time management.
Data Scientists or Sr Data Scientists individual contributors are likely to concentrate on 1 or 2 problem spaces. The IC role is alleged to provide you the space to deliver on a deep problem, removing noise from other projects and admin work. You will likely have some ad-hoc chats with engineering colleagues or other data science peers, but these are the crucial because technical designs and system dependencies are vital for delivery. In fact, one must attend weekly meetings with stakeholders, but probably you get 1 of those per week. Subsequently, let’s say that as an IC, your week is around 20% meetings with 80% technical work.
Now… what would occur if, as an alternative of working on 1 project, you oversee 3 to five projects and 6 to 12 direct reports? In the event you are usually not careful…
