diff --git a/sdks/python/apache_beam/dataframe/frames.py b/sdks/python/apache_beam/dataframe/frames.py
index 3020eecbaeb5..0d9b22ae3f9e 100644
--- a/sdks/python/apache_beam/dataframe/frames.py
+++ b/sdks/python/apache_beam/dataframe/frames.py
@@ -116,7 +116,6 @@ def wrapper(self, *args, **kwargs):
     'quantile',
     'describe',
     'sem',
-    'mad',
     'skew',
     'kurt',
     'kurtosis',
@@ -126,6 +125,10 @@ def wrapper(self, *args, **kwargs):
     'cov',
     'nunique',
 ]
+# mad was removed in Pandas 2.0.
+if PD_VERSION < (2, 0):
+  UNLIFTABLE_AGGREGATIONS.append('mad')
+
 ALL_AGGREGATIONS = (
     LIFTABLE_AGGREGATIONS + LIFTABLE_WITH_SUM_AGGREGATIONS +
     UNLIFTABLE_AGGREGATIONS)
@@ -2092,7 +2095,9 @@ def axes(self):
   sum = _agg_method(pd.Series, 'sum')
   median = _agg_method(pd.Series, 'median')
   sem = _agg_method(pd.Series, 'sem')
-  mad = _agg_method(pd.Series, 'mad')
+  # mad was removed in Pandas 2.0.
+  if PD_VERSION < (2, 0):
+    mad = _agg_method(pd.Series, 'mad')
 
   argmax = frame_base.wont_implement_method(
       pd.Series, 'argmax', reason='order-sensitive')
@@ -3914,10 +3919,12 @@ def pivot_helper(df):
   std = _agg_method(pd.DataFrame, 'std')
   var = _agg_method(pd.DataFrame, 'var')
   sem = _agg_method(pd.DataFrame, 'sem')
-  mad = _agg_method(pd.DataFrame, 'mad')
   skew = _agg_method(pd.DataFrame, 'skew')
   kurt = _agg_method(pd.DataFrame, 'kurt')
   kurtosis = _agg_method(pd.DataFrame, 'kurtosis')
+  # mad was removed in Pandas 2.0.
+  if PD_VERSION < (2, 0):
+    mad = _agg_method(pd.DataFrame, 'mad')
 
   take = frame_base.wont_implement_method(pd.DataFrame, 'take',
                                           reason='deprecated')
@@ -4670,7 +4677,10 @@ def _is_unliftable(agg_func):
   return _check_str_or_np_builtin(agg_func, UNLIFTABLE_AGGREGATIONS)
 
 NUMERIC_AGGREGATIONS = ['max', 'min', 'prod', 'sum', 'mean', 'median', 'std',
-                        'var', 'sem', 'mad', 'skew', 'kurt', 'kurtosis']
+                        'var', 'sem', 'skew', 'kurt', 'kurtosis']
+# mad was removed in Pandas 2.0.
+if PD_VERSION < (2, 0):
+  NUMERIC_AGGREGATIONS.append('mad')
 
 def _is_numeric(agg_func):
   return _check_str_or_np_builtin(agg_func, NUMERIC_AGGREGATIONS)
@@ -4698,7 +4708,6 @@ class _DeferredGroupByCols(frame_base.DeferredFrame):
   idxmax = frame_base._elementwise_method('idxmax', base=DataFrameGroupBy)
   idxmin = frame_base._elementwise_method('idxmin', base=DataFrameGroupBy)
   last = frame_base._elementwise_method('last', base=DataFrameGroupBy)
-  mad = frame_base._elementwise_method('mad', base=DataFrameGroupBy)
   max = frame_base._elementwise_method('max', base=DataFrameGroupBy)
   mean = frame_base._elementwise_method('mean', base=DataFrameGroupBy)
   median = frame_base._elementwise_method('median', base=DataFrameGroupBy)
@@ -4717,8 +4726,11 @@ class _DeferredGroupByCols(frame_base.DeferredFrame):
       DataFrameGroupBy, 'tail', explanation=_PEEK_METHOD_EXPLANATION)
   take = frame_base.wont_implement_method(
       DataFrameGroupBy, 'take', reason='deprecated')
-  tshift = frame_base._elementwise_method('tshift', base=DataFrameGroupBy)
   var = frame_base._elementwise_method('var', base=DataFrameGroupBy)
+  # These already deprecated methods were removed in Pandas 2.0
+  if PD_VERSION < (2, 0):
+    mad = frame_base._elementwise_method('mad', base=DataFrameGroupBy)
+    tshift = frame_base._elementwise_method('tshift', base=DataFrameGroupBy)
 
   @property # type: ignore
   @frame_base.with_docs_from(DataFrameGroupBy)
diff --git a/sdks/python/apache_beam/dataframe/frames_test.py b/sdks/python/apache_beam/dataframe/frames_test.py
index a2a8ef75f885..fa121aa85c30 100644
--- a/sdks/python/apache_beam/dataframe/frames_test.py
+++ b/sdks/python/apache_beam/dataframe/frames_test.py
@@ -1946,6 +1946,12 @@ def test_groupby_multiindex_keep_nans(self):
           lambda df: df.groupby(['foo', 'bar'], dropna=False).sum(), GROUPBY_DF)
 
 
+NONPARALLEL_METHODS = ['quantile', 'describe', 'median', 'sem']
+# mad was removed in pandas 2
+if PD_VERSION < (2, 0):
+  NONPARALLEL_METHODS.append('mad')
+
+
 class AggregationTest(_AbstractFrameTest):
   """Tests for global aggregation methods on DataFrame/Series."""
 
@@ -1955,7 +1961,7 @@ class AggregationTest(_AbstractFrameTest):
   def test_series_agg(self, agg_method):
     s = pd.Series(list(range(16)))
 
-    nonparallel = agg_method in ('quantile', 'describe', 'median', 'sem', 'mad')
+    nonparallel = agg_method in NONPARALLEL_METHODS
 
     # TODO(https://github.com/apache/beam/issues/20926): max and min produce
     # the wrong proxy
@@ -1974,7 +1980,7 @@ def test_series_agg(self, agg_method):
   def test_series_agg_method(self, agg_method):
     s = pd.Series(list(range(16)))
 
-    nonparallel = agg_method in ('quantile', 'describe', 'median', 'sem', 'mad')
+    nonparallel = agg_method in NONPARALLEL_METHODS
 
     # TODO(https://github.com/apache/beam/issues/20926): max and min produce
     # the wrong proxy
@@ -1990,7 +1996,7 @@ def test_series_agg_method(self, agg_method):
   def test_dataframe_agg(self, agg_method):
     df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [2, 3, 5, 7]})
 
-    nonparallel = agg_method in ('quantile', 'describe', 'median', 'sem', 'mad')
+    nonparallel = agg_method in NONPARALLEL_METHODS
 
     # TODO(https://github.com/apache/beam/issues/20926): max and min produce
     # the wrong proxy
@@ -2007,7 +2013,7 @@ def test_dataframe_agg(self, agg_method):
   def test_dataframe_agg_method(self, agg_method):
     df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [2, 3, 5, 7]})
 
-    nonparallel = agg_method in ('quantile', 'describe', 'median', 'sem', 'mad')
+    nonparallel = agg_method in NONPARALLEL_METHODS
 
     # TODO(https://github.com/apache/beam/issues/20926): max and min produce
     # the wrong proxy