Artificial intelligence (AI) skills are in hot demand. “AI Specialist” was the top job in LinkedIn’s 2020 Emerging Jobs report with 74 percent annual growth in the last four years. As the technology matures, it will continue to transform work as we know it across virtually every industry. But its impact isn’t limited to work alone. As Maria Korolov put it in a recent CIO article, “Alongside this transformation of how many IT and business staff do their work will be the emergence of new jobs targeted at making the most of organizational AI strategies.”
Read on for five such positions and how they could help your company derive the most value from your AI investments.
Chief AI Officer
According to Korolov, those possessing this title “must understand how cognitive technologies impact the business, develop the company’s AI strategy, and explain it to the board, company executives, employees, and customers.” Once the AI roadmap has been established, the Chief AI Officer should work in close collaboration with the CIO to implement the strategy in such a way that addresses business goals while simultaneously meeting the needs of all company stakeholders.
AI Ethics Officer
As we’ve written about numerous times at the APEX of Innovation, ethical concerns often go hand in hand with discussions about broader enterprise AI adoption. As such, it follows that the AI Ethics Officer is an emerging role that will serve a critical function as companies look to expand their usage of the technology. As Korolov puts it, successful candidates in this position “must have a passion for technology but also a healthy skepticism.” Approaching potential AI projects by asking “Should we do this?,”not “Can we do this?,” is key to understanding the broader impact of the technology and deploying unbiased AI.
AI architects need the ability to look at AI projects at scale. An understanding of agile development, experience working with large data sets and cloud data processing frameworks, and the ability to design, build, and deploy complex AI systems are also key.
AI Data Engineer
Korolov writes, “Both AI and machine learning live and die on data. But the data required can differ in kind and scale from that needed by other systems, so any organization that wants to perform advanced analytics, ML, or AI will need a data engineer.” The ability to quickly sift through vast amounts of data and identify the information the AI system needs is critical. So you can expect the demand for AI data engineers to increase significantly as companies deploy more advanced AI.
Citizen Data Scientist
Gartner predicts that, by 2024, citizen data scientists will be able to “perform AI-related tasks because the tools needed to deploy advanced analytics, machine learning, and artificial intelligence will become easier and easier to use.” While citizen data scientist will not likely be a job title in its own right, experience with AI and various AI tools will increasingly be part of descriptions for positions across a range of job functions.
For more of Korolov’s thoughts on these and other essential roles to help drive AI forward, check out her piece in its entirety here.