If you’ve spent any time around an organization using data, you can probably close your eyes and hear the words “the data” ringing in your head. “The data isn’t right”, “the data isn’t easy to find”, “the data doesn’t make sense”. This triggers a feeling that “the data” needs to be fixed, or easier to use, or more reliable. So data product managers (and the organizations that support them) try to tackle “the data” in aggregate. But here’s what I’ve learned: you
Amen! This mitigates the ugly trap of a long time to meaningful value. Most folks won't appreciate the down in the weeds effort of infrastructure and data wrangling that is a precursor to "oh look shiny graphs and insights". The more you try and chew off, the more of this below the waterline iceberg work you gotta do. I don't think there's many orgs that actually have the patience for that without seeing some meaningful value for extended periods of time.
This will definitely have a big impact for me as Data Infra Platform Product Manager. I call it a cupcake vs a slice model to focus on one verticle to get value and then move to next verticle
Such great insights here! The title of PM of all things ML at a company can be alluring from an ego perspective, but you've really clarified the ways such a broad mandate right out the gate hampers real progress and can make it feel like a demotion to that person once others are hired to assist with the many ML facets at the company. Great post!
Amen! This mitigates the ugly trap of a long time to meaningful value. Most folks won't appreciate the down in the weeds effort of infrastructure and data wrangling that is a precursor to "oh look shiny graphs and insights". The more you try and chew off, the more of this below the waterline iceberg work you gotta do. I don't think there's many orgs that actually have the patience for that without seeing some meaningful value for extended periods of time.
This will definitely have a big impact for me as Data Infra Platform Product Manager. I call it a cupcake vs a slice model to focus on one verticle to get value and then move to next verticle
Such great insights here! The title of PM of all things ML at a company can be alluring from an ego perspective, but you've really clarified the ways such a broad mandate right out the gate hampers real progress and can make it feel like a demotion to that person once others are hired to assist with the many ML facets at the company. Great post!