* The entire data team has one decision maker and every definition of right/wrong revolves around the opinion/prior/mood of one person.
* The other business functions including but not limited to PM-leads, DS-leads are crippled on authorisation and decision making.
* They had some good folks who tried empowering the team (poached from aa company w/ great culture) and dare to speak/take one for the team, have now given up and are leaving the organisation.
* Primarily, being an OPS driven organisation, the focus is on making `V0` or hustle, rather than impact.
* Lacks planning severely, and as a consequence, the people w/ ownership toil hard, for others, it's another day passed.
* For a DS role, there is no one to look upto and collaboration is seen as overallocation.
* Even if you manage to create a sensible product, the adoption will be temporary.
* Spends a lot of time b/w managers to create OKR's, nobody cares about the analysis that will be involved
* SQL developers are titled Data Analysts, Data Analysts are titled Data Scientist, and a Senior Data Scientist is responsible for everything that goes wrong w/ the system
* One will loose skill during the time spent w/ Rapido.
