I saw a job posting on LinkedIn this week for a data product manager at a big tech company. My first reaction was “cool!” My second reaction, after reading more deeply, was “what is this person supposed to actually do?” The job description was so generic to the point that I had no idea what product they were actually responsible for. Then it hit me - just like product management frameworks tend to abstract away details to fit “general concepts”, talking about “data product” in a generic way can produce the same result. Data product is a useful idea, but to make it really create value, we have to get into the specifics - and that means talking about types of data products.
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