04:05 INTERVIEW
Then, after that, the questions will be what more can we do with this data-ready global payroll management system? What new tools do we need to use it? What can we do at scale across all of payroll? In the future, people that we bring into payroll from these latest generations will no longer be just digitally-native; they will be AI-native. GPA: What kind of guidance would you give somebody who is just getting started in the payroll industry? Fidelma McGuirk: I think respect is the most important thing. For skills, those who are digitally- native and those becoming AI-native need to understand about the payroll calculations so they can evaluate whether what they see on the screen is right. These new payroll professionals will need to sit back and learn major content, which might be a bit of a shell shock to them. But, if they can stick with it, it will give them huge confidence, because AI won’t do them out of a job.
I think the next five years is definitely all about cleaning up your data, organizing your data, owning your data in a way that you’re comfortable with, and being data- ready for global payroll management.
should we have our own data lake or repository, should we use a SaaS technology, should we put it over here? Vendor software to manage our service delivery is no longer a given. I think the next five years is definitely all about cleaning up your data, organizing your data, owning your data in a way that you’re comfortable with, and being data-ready for global payroll management. Companies are at different stages of maturity on this issue.
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GLOBAL PAYROLL MAGAZINE ISSUE 23
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