{"id":543,"date":"2013-08-01T00:36:38","date_gmt":"2013-08-01T05:36:38","guid":{"rendered":"http:\/\/tim.mcguinn.es\/s\/?p=543"},"modified":"2015-07-23T01:18:11","modified_gmt":"2015-07-23T01:18:11","slug":"the-big-data-role","status":"publish","type":"post","link":"http:\/\/tim.mcguinn.es\/s\/?p=543","title":{"rendered":"The Big Data Role"},"content":{"rendered":"

\"BigI had an interesting meeting today with the Sr. VP of a marketing and data processing services company (being vague to protect future interests). They are sitting on years of data and generating more each day, so they are vetting ideas on how to improve their offerings based on this data, starting with plans to hire two executives focusing on “big data” and digital strategy.<\/p>\n

Of course, for full disclosure, I was trying to get myself hired. However, the real challenge was getting hired into roles that are fairly undefined at this point. I won’t bury the suspense, it’s not going to happen for me this week, but it’s more of a “It’s not you, it’s me” thing, since it was apparent after a while that he was looking for a Data Scientist<\/a> for his “data” role, so I would have to take up the data strategy role with an organization that he did not manage.<\/p>\n

As we talked through the roles it become more clear where my technology and marketing background offers the most value — as usual it is in hybrid role. Let’s look at a three possible job roles in the digital data cycle:<\/p>\n

Product Manager<\/a> >> Generates & Consumes Data<\/span><\/strong><\/p>\n