You're an Operator (GTDA): You own the process. You know how it works, where it breaks, how to make it work better. In finance, you've probably built incredible spreadsheets that hold together fragile processes. You've automated around the edges. You know the monthly close is chaotic because of all the manual work.
Here's what's about to happen: Those spreadsheets are getting automated. Not replaced—automated. The manual data entry, the reconciliation, the pulling together of numbers from multiple sources—all of it is becoming continuous, systematic, and largely automated.
This sounds threatening. It's actually liberating if you think about it right. You go from being "the person who holds it together" to being "the person who conducts the system." You go from firefighting every month to designing a system that prevents fires.
The shift is toward continuous close instead of monthly close. Real-time numbers instead of numbers that are 30 days old. That requires building a process that works continuously, not something you can patch together the week of the close. It requires model governance (how do we know the numbers are right?), process redesign (how do we make this work without humans?), and compliance and control (how do we know nothing is being manipulated?).
Your superpower is process thinking. You understand dependencies. You know what breaks when you change one thing. You know which parts of the process are fragile and which are robust. You understand the difference between "this works because people are working hard" and "this works because the system is solid." That's exactly the skill you need to design finance processes that work without constant human intervention.
The specific roles emerging: Finance Operations Architect (designs the process), Model Governance Lead (owns the standards and controls), Continuous Close Manager (implements and maintains systems that produce financial information in real time instead of monthly).
Your concrete advantage: You already know your company's finance process in excruciating detail. You know where it's fragile, where it's robust, where it could break. Use that knowledge to design the automation thoughtfully. Position yourself as the person who understands how to move from monthly chaos to continuous control. That's increasingly valuable, and increasingly rare.
"The finance teams that thrive aren't the ones with the best AI. They're the ones led by an operator who can design a system that makes AI work reliably."