diff --git a/cosmos/airflow/graph.py b/cosmos/airflow/graph.py
index 95c9d242e4..2cbba41141 100644
--- a/cosmos/airflow/graph.py
+++ b/cosmos/airflow/graph.py
@@ -641,14 +641,17 @@ def _add_dbt_setup_async_task(
     tasks_map[DBT_SETUP_ASYNC_TASK_ID] = setup_airflow_task
 
 
-def _add_producer_watcher_and_dependencies(
+def _add_watcher_producer_task(
     dag: DAG,
     task_args: dict[str, Any],
     tasks_map: dict[str, Any],
     task_group: TaskGroup | None,
     render_config: RenderConfig | None = None,
-    nodes: dict[str, DbtNode] | None = None,
-) -> str:
+) -> BaseOperator:
+    """
+    Create the producer task for the watcher execution mode and add it to the tasks_map.
+    The producer task is the task that will be used to produce the events for the watcher execution mode.
+    """
     producer_task_args = task_args.copy()
 
     if render_config is not None:
@@ -669,10 +672,23 @@ def _add_producer_watcher_and_dependencies(
         arguments=producer_task_args,
     )
     producer_airflow_task = create_airflow_task(producer_task_metadata, dag, task_group=task_group)
+    tasks_map[PRODUCER_WATCHER_TASK_ID] = producer_airflow_task
+    return producer_airflow_task
 
-    # Second, we need to set the producer task ID in all consumer tasks (and their children tasks)
-    for node_id, task_or_taskgroup in tasks_map.items():
 
+def _add_watcher_dependencies(
+    dag: DAG,
+    producer_airflow_task: BaseOperator,
+    task_args: dict[str, Any],
+    tasks_map: dict[str, Any],
+    nodes: dict[str, DbtNode] | None = None,
+) -> str:
+    """
+    Iterate through the watcher consumer tasks and:
+    - set the producer task ID in all of them
+    - make the producer task to be the parent of the root dbt nodes, without blocking them from sensing XCom
+    """
+    for node_id, task_or_taskgroup in tasks_map.items():
         node_tasks = (
             list(task_or_taskgroup.children.values())
             if isinstance(task_or_taskgroup, TaskGroup)
@@ -681,7 +697,7 @@ def _add_producer_watcher_and_dependencies(
         for task in node_tasks:
             task.producer_task_id = producer_airflow_task.task_id  # type: ignore[attr-defined]
 
-        # Third, we want to make the producer task to be the parent of the root dbt nodes, without blocking them from sensing XCom
+        # Make the producer task to be the parent of the root dbt nodes, without blocking them from sensing XCom
         # We only managed to do this in the case of DbtDag.
         # The way it is implemented is by setting the trigger_rule to "always" for the consumer tasks, and by having the producer task with a high priority_weight.
         if "DbtDag" in dag.__class__.__name__:
@@ -702,7 +718,6 @@ def _add_producer_watcher_and_dependencies(
                 for task in always_run_tasks:
                     task.trigger_rule = task_args.get("trigger_rule", "always")  # type: ignore[attr-defined]
 
-    tasks_map[PRODUCER_WATCHER_TASK_ID] = producer_airflow_task
     return producer_airflow_task.task_id
 
 
@@ -844,6 +859,18 @@ def build_airflow_graph(  # noqa: C901 TODO: https://github.com/astronomer/astro
     if execution_mode == ExecutionMode.AIRFLOW_ASYNC:
         # This property is only relevant for the setup task, not the other tasks:
         virtualenv_dir = task_args.pop("virtualenv_dir", None)
+    elif execution_mode == ExecutionMode.WATCHER:
+        setup_operator_args = getattr(execution_config, "setup_operator_args", None) or {}
+        # We are intentionally creating the producer task ahead of the consumer tasks
+        # Airflow priority weight is not being respected in multiple versions of the library, including 3.1
+        # To instantiate the producer before helps having it before on the DAG topological order and scheduling this task before the consumer tasks
+        producer_task = _add_watcher_producer_task(
+            dag=dag,
+            task_args={**task_args, **setup_operator_args},
+            tasks_map=tasks_map,
+            task_group=task_group,
+            render_config=render_config,
+        )
 
     for node_id, node in nodes.items():
         task_or_group_args = {
@@ -915,12 +942,11 @@ def build_airflow_graph(  # noqa: C901 TODO: https://github.com/astronomer/astro
 
     if execution_mode == ExecutionMode.WATCHER:
         setup_operator_args = getattr(execution_config, "setup_operator_args", None) or {}
-        _add_producer_watcher_and_dependencies(
+        _add_watcher_dependencies(
             dag=dag,
-            task_args={**task_args, **setup_operator_args},
+            producer_airflow_task=producer_task,
+            task_args=task_args,
             tasks_map=tasks_map,
-            task_group=task_group,
-            render_config=render_config,
             nodes=nodes,
         )
 
diff --git a/tests/operators/test_watcher.py b/tests/operators/test_watcher.py
index 04bdcf0518..c56d5e87c2 100644
--- a/tests/operators/test_watcher.py
+++ b/tests/operators/test_watcher.py
@@ -1102,10 +1102,10 @@ def test_dbt_task_group_with_watcher():
 
     expected_task_names = [
         "pre_dbt",
+        "dbt_task_group.dbt_producer_watcher",
         "dbt_task_group.raw_customers_seed",
         "dbt_task_group.raw_orders_seed",
         "dbt_task_group.raw_payments_seed",
-        "dbt_task_group.dbt_producer_watcher",
         "dbt_task_group.stg_customers_run",
         "dbt_task_group.stg_orders_run",
         "dbt_task_group.stg_payments_run",