There is a recurring pattern in almost all enterprise projects that stall: the platform works, the budget has been approved, the vendor is reliable… and yet, progress isn’t moving at the expected pace. When the cause is investigated, it’s rarely a technical problem. Instead, a confusing organizational chart emerges.
Someone is acting as an architect without actually being one. A functional role is resolving issues that fall under a governance role. No one is clear on who makes decisions regarding data security or who is responsible for ensuring that an integration between SAP and an analytics platform doesn’t disrupt the rest of the ecosystem. The project doesn’t have an architectural problem—it has a problem with people being in the wrong roles within that architecture.
The symptom that almost no one diagnoses in time
Most organizations don't recognize this problem until it's too late, because it doesn't manifest as a crisis, but rather as a buildup of minor friction points:
- Decisions that take weeks because no one has a clear mandate to make them.
- Technical specialists tied up with coordination tasks for which they were not hired.
- «Umbrella» roles — such as SAP consultant o cloud administrator— which, in practice, serve five different functions depending on who holds them.
- Scaling processes (more users, more modules, more countries) that expose gaps in accountability that previously went unnoticed.
None of these symptoms appear on an infrastructure performance dashboard. They manifest as delivery delays, rework, and a vague sense that «the team can’t do any more,» even though the technical capabilities are there.
Why Enterprise Environments Exacerbate This Problem
In a single-application environment, a poorly defined role leads to inefficiency. In an enterprise environment—where SAP, AWS, Azure, Salesforce, Oracle, and ServiceNow coexist and are often integrated with one another—it leads to something different: governance blind spots.
Each of these platforms has its own role structure, its own access levels, and its own certifications. When an organization grows rapidly—through acquisitions, international expansion, or accelerated digital transformation—it often expands its teams by replicating generic job titles, without reviewing whether those titles still represent real and distinct responsibilities in the new context.
The result is predictable: two people with the same job title doing different jobs, or worse, no one with a clear job title doing the work that actually keeps the critical operation running.
The question that very few IT leaders ask themselves early enough
It's not «Do we have the right talent?» It's more uncomfortable: Do we know exactly what each role needs to do before we start looking for someone to fill it or assign it internally?
Without that prior definition, any hiring process, internal promotion, or team reorganization becomes a gamble. People are hired based on their resumes or certifications, not on whether they’re actually a good fit for the role. And when the fit is wrong, the cost isn’t reflected on the payroll—it’s reflected in projects that don’t move forward.
This is not a problem exclusive to small or immature companies. In fact, it is more common in large organizations, precisely because their technological complexity has grown faster than their ability to redesign the structure of roles that supports it.
From Intuition to a Framework
The natural reaction to this diagnosis is usually reactive: tasks are reassigned on the fly, ad hoc committees are formed, and a senior executive is urgently hired in the hope that they will «bring order» to the team. It works in the short term. It rarely addresses the root cause.
What often sets apart organizations that scale effectively from those plagued by chronic friction is having a clear framework: what roles exist in a modern enterprise environment, what responsibilities each one entails, where their scope begins and ends, and how they relate to one another on platforms such as SAP, AWS, Azure, Salesforce, Oracle, or ServiceNow.
This is not about adding bureaucracy, but rather the opposite: reducing the ambiguity that currently consumes decision-making time and coordination efforts.
