Cliff Justice, leader of KPMG's Shared Services and Outsourcing Advisory practice, says organizational needs around analytics will be huge, driven partly by the sheer volume of data collected but also by the increasing number of applications (such as robotics) fueled by analytical output. As a result, companies are adding and creating IT positions to handle the work.
According to Barry Brunsman, principal in KPMG's CIO Advisory Management Consulting practice (pdf), you'll see roles like these: Data architects, who design the structure to support emerging needs; data integration engineers, who ensure that data solutions and analytics from any number of sources can be integrated; and IT planning analysts, who aggregate and analyze data from many internal and external sources to help IT know what its business partners are likely to need in the future.
Technical titles that are and will remain hot include Hadoop developer, data engineer, big data software architect and enterprise data architect, says Christian P. Hagen, a partner with the Strategic IT Practice at management consulting firm A.T. Kearney.
At the same time, organizational demands around analytics will create a new batch of leadership positions tasked with understanding how to use analytics to achieve goals and objectives. "Analytics won't mean just working with tools. Companies will need someone out in front, someone who can get at how analytics will transform the company and IT as well," Hagen says.
Hagen says leadership positions emerging in this field are chief analytics officer, chief data officer, chief digital officer, head of business analytics and vice president of enterprise data.