Recently, I heard 2-to 3 data leaders say that the default state of most data teams is failure. But I don’t think most data teams are set up for success to start with(I also don’t believe that failure is the default state).
I do however, find that many data engineers, analysts, and scientists get thrown into the role of Head of Data or perhaps director and don’t get much in the way of coaching or advice.
There is just the expectation that we will do a good job because we were a good individual contributor.
So I wanted to start to put together a list of what you need to know and do to be successful as a leader in the data space.
This ranges from taking even more time to understand the business to being intentional on how you hire and place talent.
So if you’re thinking of leading a data team or perhaps already are this is for you!
If you're team needs help improving their data strategy, or setting up their data infrastructure, feel free to set-up a free consultation - https://calendly.com/ben-rogojan/consultation
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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.
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