ADP Planner (Automatic Data Processing Planner)

Your day often involves mapping out how data should move through complex enterprise systems — designing database schemas, planning ETL processes, and architecting data warehouses that let organizations actually use their information. You might be working with business analysts to understand reporting needs, collaborating with DBAs and engineers to implement structures, or documenting data flows across dozens of interconnected systems. The work is strategic and architectural, requiring you to think several steps ahead about how decisions today will affect system performance and flexibility years from now.

At many organizations, you're balancing technical depth with business translation — understanding what stakeholders need from their data while knowing enough about databases, APIs, and infrastructure to design realistic solutions. You spend time in planning meetings, creating technical specifications, and reviewing implementations to ensure they match architectural intent. The consequences of poor planning can be expensive, because redesigning data architectures after they're in production is painful and disruptive.

People who thrive here tend to be systematic thinkers who enjoy solving structural puzzles. You need to understand both the technical constraints of systems and the business logic that data needs to support. If you prefer hands-on coding or get frustrated by abstraction and planning work, this might feel too removed from implementation.