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Got messaged by a C3 . ai recruiter. Read that wlb is bad and that the interview process is absurdly long, but the Glassdoor reviews are 4.2 and can't find actual hours worked posted by anyone. How's the culture really? I'd be aiming for DS consulting, something more functional but with DS/ML concepts as my differentiator.
C3.ai, Inc.
What is a data lake in basic terms?
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They’re separate skills and tracks, I wouldn’t bat an eye at someone going to IC. One of our problems as an industry is progress eventually requires mgmt.
I would see it as liberating me to do the same lol. Managing people is great until it's not and you start to miss hands on work.
Supervising is a different skill set than “doing” the analytics work that is done as an individual contributor. I’ve seen people promoted who were great individual contributors who then were terrible managers. I’ve also seen people who were managers who hated it, move back to individual contributor roles since they weren’t happy. I switched from managing a BI / analytics shop to an individual contributor role since I wasn’t happy in the organization I was in and wanted to switch jobs. Another alternative could be to see if you can get additional training or mentoring in supervision if you feel like that’s an area you could grow in. It’s about making you happy.
Feel free to DM me if you want.
I’ve tried to stay as far away from management as possible. Managing right now and individually contributing. If I can find an individual contributor role that pays I’d be gone.
What total comp would you need to jump back?
Curious on why you hate managing data analytics roles remotely?
The project was indeed poorly scoped but worse than that poorly executed.
I was brought in 4 months ago to steady the ship. The old team's senior manager was let go, and one of my first tasks was to assess the performance of one of my managers and design a Pip.
Then, I was told collaboration with IT and IT not delivering on time was the root cause, so I delegated day to day tasks to the managers and focused on improving collaboration with IT.
I assesed the overall team's performance during those two months and realized the team basically was occupying IT's capacity with simple data modeling tasks, improving SQL queries, and other basic things they should be able to do themselves.
While the team were redirecting their efforts to finishing adhoc requests and tasks from the business.
I took back 30% of the tickets from IT and have been training the team on how to do data modeling, query optimization, and teaching principles of analytics. It's a high potential team, but not a lot of current knowledge, skill, or experience.
But this whole process is unecessarily slow and painful.
I also recently realized some of the dashboards the team has been maintaining are ridiculously manual (I am talking about spending 2-3 hours per day compiling Excel tables manual). Had they been in the office, I would have identified that 4 months ago and put a stop to it.
So yeah, there are so many basic things I would be able to coach and solve if I identified them, but it takes too long to find out.