Dakota Sanchez
Dakota Sanchez leads all data and AI operations to streamline workflows internally that lead to more efficient and impactful deliverables for Till's clients.
About Dakota Sanchez
Dakota Sanchez is a versatile engineer with a background in industrial and systems engineering. Throughout his career, Dakota has specialized in leveraging data-driven solutions to optimize workflows and enhance operational efficiency. His expertise spans data engineering, software automation, and process improvement, with a focus on creating scalable and efficient systems.
Previously, Dakota worked as a Data Engineer, where he collaborated with cross-functional teams to improve data workflows, enhance automation, and support accurate data processing. His experience also includes operations engineering, where he contributed to the optimization of manufacturing workflows and implemented solutions to address production challenges.
Dakota holds a B.S. in Industrial and Systems Engineering from the University of Oklahoma. His broad technical skill set makes him a key player in any team looking to harness technology for improved performance.
Every Till CFO engagement begins with a clear view of where your financial function stands today, and where it’s falling short. Our embedded CFO team conducts a comprehensive assessment to uncover gaps in visibility, decision-making, and forward planning.
From there, we align on what actually matters: the decisions ahead of you, the complexity you’re navigating, and the level of financial leadership required to support it.
Whether you’re scaling quickly or operating at size, the question isn’t experience, it’s whether your current financial structure can keep up with where the business is going.
