diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst
index de69166b8c196..03e64319ff791 100644
--- a/doc/source/whatsnew/v3.0.0.rst
+++ b/doc/source/whatsnew/v3.0.0.rst
@@ -649,6 +649,7 @@ Conversion
 - Bug in :meth:`DataFrame.update` bool dtype being converted to object (:issue:`55509`)
 - Bug in :meth:`Series.astype` might modify read-only array inplace when casting to a string dtype (:issue:`57212`)
 - Bug in :meth:`Series.reindex` not maintaining ``float32`` type when a ``reindex`` introduces a missing value (:issue:`45857`)
+- Bug in :meth: 'Series.convert_dtype' strips the timezone on an already Timezone aware pyarrow timestamp dtype (:issue:'60237')
 
 Strings
 ^^^^^^^
diff --git a/pandas/core/dtypes/dtypes.py b/pandas/core/dtypes/dtypes.py
index 96b0aa16940a6..58b05286dba01 100644
--- a/pandas/core/dtypes/dtypes.py
+++ b/pandas/core/dtypes/dtypes.py
@@ -2277,23 +2277,6 @@ def name(self) -> str:  # type: ignore[override]
     @cache_readonly
     def numpy_dtype(self) -> np.dtype:
         """Return an instance of the related numpy dtype"""
-        if pa.types.is_timestamp(self.pyarrow_dtype):
-            # pa.timestamp(unit).to_pandas_dtype() returns ns units
-            # regardless of the pyarrow timestamp units.
-            # This can be removed if/when pyarrow addresses it:
-            # https://github.com/apache/arrow/issues/34462
-            return np.dtype(f"datetime64[{self.pyarrow_dtype.unit}]")
-        if pa.types.is_duration(self.pyarrow_dtype):
-            # pa.duration(unit).to_pandas_dtype() returns ns units
-            # regardless of the pyarrow duration units
-            # This can be removed if/when pyarrow addresses it:
-            # https://github.com/apache/arrow/issues/34462
-            return np.dtype(f"timedelta64[{self.pyarrow_dtype.unit}]")
-        if pa.types.is_string(self.pyarrow_dtype) or pa.types.is_large_string(
-            self.pyarrow_dtype
-        ):
-            # pa.string().to_pandas_dtype() = object which we don't want
-            return np.dtype(str)
         try:
             return np.dtype(self.pyarrow_dtype.to_pandas_dtype())
         except (NotImplementedError, TypeError):
diff --git a/pandas/tests/copy_view/test_astype.py b/pandas/tests/copy_view/test_astype.py
index 91f5badeb9728..e055a20ab4ef0 100644
--- a/pandas/tests/copy_view/test_astype.py
+++ b/pandas/tests/copy_view/test_astype.py
@@ -236,3 +236,19 @@ def test_convert_dtypes(using_infer_string):
     df2.iloc[0, 0] = "x"
     df2.iloc[0, 1] = 10
     tm.assert_frame_equal(df, df_orig)
+
+
+def test_convert_dtypes_pyarrow_timezone():
+    # GH 60237
+    expected = Series(
+        [
+            "1970-01-01 00:00:00+00:00",
+            "1970-01-01 01:00:00+00:00",
+            "1970-01-01 02:00:00+00:00",
+            "1970-01-01 03:00:00+00:00",
+            "1970-01-01 04:00:00+00:00",
+        ],
+        dtype="timestamp[ns, tz=UTC][pyarrow]",
+    )
+    result = expected.convert_dtypes(dtype_backend="pyarrow")
+    tm.assert_series_equal(result, expected)