Hi Pedro. Glad you enjoyed the article.

Org - Yes, org culture is probably the biggest hurdle we have. To be clear, we are by no means done with our Data Mesh effort at Intuit. We've barely started. We're tackling it first by defining the strategy (this article is a very close approximation to the internal strategy document we have). And then we are finding the executives at the company whose needs are most directly in line with the benefits we think we can provide. There's been a growing consensus around the importance of privacy and compliance, and a feeling that if we could be world class in the kinds of ways in which we solve it, we could ethically, legally and confidently unlock the potential of the data we have at Intuit. In addition to the usual suspects (CDO, Business GMs). We are finding quite a bit of support from our security, privacy and legal org leaders. We need this support so that we can get both the resources we need to build the the technology, but also the mindshare of these executives so that we can help steer the culture in the right direction. This is going to be a multi-year journey, but so far I'm confident that we'll get there.

Data Workers - I'm not sure if some of these other things would be full time jobs. We're first starting by listing the set of explicit Data Product ownership responsibilities. From that we'll figure out if we have the skills and people required to fulfill them. For many of those responsibilities, I expect we would find engineers perfectly capable of filling them, even if its slightly outside of the traditional tasks an engineer might do, for others (for instance, prioritizing a list of asks against business priorities and developing a quarterly roadmap), we might find a Product Owner is needed as a dedicate role.

Distribution of people - at the moment, I think a target state would be to have cross functional teams where data science, analytics, design and engineering skills are all present. That's not at all how intuit is organized today. We have a central data science team, and each of our BUs have analytics teams that are independent of the BU PD teams. I see this changing, but getting there is a different story (see org/culture above).