We were recently joined by Jonathan Regenstein, Head of Data and Quantamental Research at Truist Securities.
Working with IT and building relationships was a focus in our conversation with Jonathan. He included a few tips for building relationships with non-data scientist colleagues.
Find a partner within the IT organization and talk to that person at least once a week. IT can help you communicate value proposition along the way as well.
"It sounds crazy to say this in the world of data science, but relationship building was critical to what we did, especially at a bank. Thousands of request for new technology. There's no way to avoid going through all the security scans and check marks that we have to go through. We want to make sure we have a good partner who is going to help us do that"
0:48 - Start of session
10:52 - How should data science leaders work with IT?
46:20 - How far out Data Science Leaders should be planning projects with IT
48:20 - How do you become a champion of data science within your organization?
1:02:11 - Your responsibility as a data science leader is to work cross functionally
1:04:17 - Data Science Leaders: Your business cares about the value, not how you got there.
An audience-led conversation held on Zoom focused on data science leadership that is open to all every Thursday at 12 ET. You can check out the recordings on this site as well! Learn more on the About DSH page here:https://www.rstudio.com/data-science-hangout/about
You don't have to register to join. You can add the event to your own calendar here:https://www.addevent.com/event/Qv9211919
There are three ways to ask questions during a live session:
All of the recordings from past sessions are shared here:https://www.rstudio.com/data-science-hangout/live-calls
That's up to you. The host, Rachael usually opens up the discussion by asking the featured leader what they are most excited about in data science currently, and then we turn the questions over to the audience. Here are a few examples of questions that have come up before:
What is the divide between a business analyst and a data scientist?
What is the most unique problem you've had to solve in your industry?
My leaders refer to our BI tools when asked about data science, do you consider BI data science? Why/why not?
Did you always have managing skills/people skills, or did you have to learn them?
Could you define levels of data science maturity for companies?