Product Management for Data Scientists | Greg Coquillo

About this Episode

Greg is an Amazon Private Brands Program Manager and content creator. He was recently named one of LinkedIn's Top Voices in Data and Analytics for 2020

FIND GREG ONLINE

LinkedIn: https://www.linkedin.com/in/greg-coquillo/

QUOTES

[00:10:06] "Let your curiosity be your driver."

[00:13:48] "The product manager is there to take a look at the product vision...a manager is there to guide through the vision."

[00:20:52] "Communication skill helps me translate that technical solution into a solution that your stakeholder relate to. One of the best ways to learn from stakeholders is to invite them into the technical solution building session."

[00:28:47] "When you don't invite the business stakeholders into your model building sessions, you will miss out on capturing the level of risk that those business stakeholders are willing to take."

HIGHLIGHTS FROM THE SHOW

[00:02:04] Guest introduction

[00:02:50] An experience that shaped Greg

[00:04:25] What Greg thought he was going to be when he grew up

[00:06:51] The path that led Greg to where he is today

[00:09:59] How Greg taught himself data science skills

[00:12:43] What role does the product manager play on a Data science team?

[00:15:21] What part of the Data science lifecycle does the product manager own?

[00:16:47] How is a product manager different from a manager of a Data science team?

[00:18:44] What can the data scientist learn from the product manager?

[00:21:40] What can the Data scientists do to help make their product manager more effective?

[00:22:44] How can a data scientist learn product management skills?

[00:24:40] The ten dysfunctions of product management

[00:26:53] How do we measure what really matters and how do we determine what matters?

[00:30:40] The difference between AI and BI

[00:32:42] What qualities make for a good BI leader?

[00:33:16] What qualities make for a good AI leader?

[00:37:40] What do you think will be the biggest positive impact that AI will have in the next two to five years on society?

[00:39:30] The scariest application of AI?

[00:40:46] An AI code of ethics

[00:43:11] Auditing algorithms

[00:45:19] Compliance as a service

[00:47:06] What data scientists need to know about compliance and how they can learn about it

[00:48:29] Should you be afraid of job descriptions?

[00:52:22] First order and second order thinking

[00:56:09] The importance of communication skills

[01:00:30] It’s 100 years in the future, what do you want to be remembered for?

[01:03:01] The random round

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