Boom in Data Designer jobs in the future?

One designer argues the proliferation of data means the job of data designer will be needed in the coming years:

When I began my career 25 years ago, the notion of design in the software industry was still nascent. It was an engineer’s world, in which just making software function was the consuming focus. So the qualification for this design role was quite simple: do you know anything about software? Those of us trying to apply humanistic or artistic notions to the process faced fundamental technical challenges. It was actually quite exciting, but a constant uphill battle to effect change…The new design challenge is to use this data for the same humanistic outcomes that we have in mind when we shape products through the user interface or physical form. Even conceding that many interfaces are not changing much—we still use PCs, and the mobile experience still mirrors traditional PC software tropes—we can see the data that moves through these systems is becoming more interesting. Just having this data affords the possibility of exciting new products. And the kind of data we choose to acquire can begin to humanize our experiences with technology…

We might consider the Data Designer a hybrid of two existing disciplines. Right now, Data Analysts and Interaction Designers work at two ends of the spectrum, from technical to humanistic. Data Analysts offer the most expertise in the medium, which is a great place to start; but they are approaching the problem from a largely technical and analytical perspective, without the concentration we need in the humanistic aspects of the design problems they address. Interaction Designers today are expert in designing interfaces for devices with screens. They may encounter and even understand the data behind their interfaces; but for the most part, it’s too often left out of the design equation…

Sociological implications. Presented with new capabilities of new technology, the design problem is to determine not just if a certain capability can be used, but how and why it should be used. When systems take in data quietly, from behind the scenes, from more parts of our lives, and shape this data in radical new ways, then we find an emerging set of implications that design does not often face, with profound sociological and safety issues to consider.

Data doesn’t interpret itself; people need to make sense of it and then use it effectively. Simply having all of this data is a good start but skilled practitioners can do effective, useful, and aesthetically pleasing things with the data.

My question would be about how to make to this happen? Is this best addressed top-down by certain organizations who have the foresight and/or resources to make this happen? Or, is this best done by some new startups and innovators who show others the way?

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