diff --git a/awswrangler/athena/_read.py b/awswrangler/athena/_read.py
index 35632f854..483467ab7 100644
--- a/awswrangler/athena/_read.py
+++ b/awswrangler/athena/_read.py
@@ -337,7 +337,8 @@ def _resolve_query_without_cache_ctas(
         wait=True,
         athena_query_wait_polling_delay=athena_query_wait_polling_delay,
         boto3_session=boto3_session,
-        execution_params=execution_params,
+        params=execution_params,
+        paramstyle="qmark",
     )
     fully_qualified_name: str = f'"{ctas_query_info["ctas_database"]}"."{ctas_query_info["ctas_table"]}"'
     ctas_query_metadata = cast(_QueryMetadata, ctas_query_info["ctas_query_metadata"])
diff --git a/awswrangler/athena/_utils.py b/awswrangler/athena/_utils.py
index f13090fa8..d2f10db8f 100644
--- a/awswrangler/athena/_utils.py
+++ b/awswrangler/athena/_utils.py
@@ -649,6 +649,8 @@ def create_ctas_table(
     wait: bool = False,
     athena_query_wait_polling_delay: float = _QUERY_WAIT_POLLING_DELAY,
     execution_params: list[str] | None = None,
+    params: dict[str, Any] | list[str] | None = None,
+    paramstyle: Literal["qmark", "named"] = "named",
     boto3_session: boto3.Session | None = None,
 ) -> dict[str, str | _QueryMetadata]:
     """Create a new table populated with the results of a SELECT query.
@@ -701,6 +703,17 @@ def create_ctas_table(
         Whether to wait for the query to finish and return a dictionary with the Query metadata.
     athena_query_wait_polling_delay: float, default: 0.25 seconds
         Interval in seconds for how often the function will check if the Athena query has completed.
+    execution_params: List[str], optional [DEPRECATED]
+        A list of values for the parameters that are used in the SQL query.
+        This parameter is on a deprecation path.
+        Use ``params`` and `paramstyle`` instead.
+    params: Dict[str, Any] | List[str], optional
+        Dictionary or list of parameters to pass to execute method.
+        The syntax used to pass parameters depends on the configuration of ``paramstyle``.
+    paramstyle: str, optional
+        The syntax style to use for the parameters.
+        Supported values are ``named`` and ``qmark``.
+        The default is ``named``.
     boto3_session: boto3.Session, optional
         Boto3 Session. The default boto3 session is used if boto3_session is None.
 
@@ -752,6 +765,20 @@ def create_ctas_table(
     if ctas_database is None:
         raise exceptions.InvalidArgumentCombination("Either ctas_database or database must be defined.")
 
+    # Substitute execution_params with params
+    if execution_params:
+        if params:
+            raise exceptions.InvalidArgumentCombination("`execution_params` and `params` are mutually exclusive.")
+
+        params = execution_params
+        paramstyle = "qmark"
+        raise DeprecationWarning(
+            '`execution_params` is being deprecated. Use `params` and `paramstyle="qmark"` instead.'
+        )
+
+    # Substitute query parameters if applicable
+    sql, execution_params = _apply_formatter(sql, params, paramstyle)
+
     fully_qualified_name = f'"{ctas_database}"."{ctas_table}"'
 
     wg_config: _WorkGroupConfig = _get_workgroup_config(session=boto3_session, workgroup=workgroup)
diff --git a/tests/unit/test_athena.py b/tests/unit/test_athena.py
index b0b51e5cb..eda53c0ab 100644
--- a/tests/unit/test_athena.py
+++ b/tests/unit/test_athena.py
@@ -222,6 +222,94 @@ def test_athena_create_ctas(path, glue_table, glue_table2, glue_database, glue_c
     ensure_athena_ctas_table(ctas_query_info=ctas_query_info, boto3_session=boto3_session)
 
 
+def test_athena_create_ctas_with_named_params(path, glue_table, glue_database, glue_ctas_database):
+    wr.s3.to_parquet(
+        df=get_df_list(),
+        path=path,
+        index=False,
+        dataset=True,
+        mode="overwrite",
+        database=glue_database,
+        table=glue_table,
+    )
+
+    wr.athena.create_ctas_table(
+        sql=f"SELECT * FROM {glue_table} WHERE par1 = :par1",
+        database=glue_database,
+        ctas_database=glue_ctas_database,
+        params={"par1": "b"},
+        paramstyle="named",
+        wait=True,
+    )
+
+
+def test_athena_create_ctas_with_qmark_params(path, glue_table, glue_database, glue_ctas_database):
+    wr.s3.to_parquet(
+        df=get_df_list(),
+        path=path,
+        index=False,
+        dataset=True,
+        mode="overwrite",
+        database=glue_database,
+        table=glue_table,
+    )
+
+    wr.athena.create_ctas_table(
+        sql=f"SELECT * FROM {glue_table} WHERE par1 = ?",
+        database=glue_database,
+        ctas_database=glue_ctas_database,
+        params=["b"],
+        paramstyle="qmark",
+        wait=True,
+    )
+
+
+def test_athena_create_ctas_with_execution_params_deprecation_warning(
+    path, glue_table, glue_database, glue_ctas_database
+):
+    wr.s3.to_parquet(
+        df=get_df_list(),
+        path=path,
+        index=False,
+        dataset=True,
+        mode="overwrite",
+        database=glue_database,
+        table=glue_table,
+    )
+
+    with pytest.raises(DeprecationWarning):
+        wr.athena.create_ctas_table(
+            sql=f"SELECT * FROM {glue_table} WHERE par1 = ?",
+            database=glue_database,
+            ctas_database=glue_ctas_database,
+            execution_params=["b"],
+            wait=True,
+        )
+
+
+def test_athena_create_ctas_with_params_and_execution_params_error(path, glue_table, glue_database, glue_ctas_database):
+    wr.s3.to_parquet(
+        df=get_df_list(),
+        path=path,
+        index=False,
+        dataset=True,
+        mode="overwrite",
+        database=glue_database,
+        table=glue_table,
+    )
+
+    with pytest.raises(wr.exceptions.InvalidArgumentCombination):
+        wr.athena.create_ctas_table(
+            sql=f"SELECT * FROM {glue_table} WHERE par1 = ?",
+            database=glue_database,
+            ctas_database=glue_ctas_database,
+            execution_params=["b"],
+            params=["b"],
+            paramstyle="qmark",
+            wait=True,
+        )
+
+
 def test_athena(path, glue_database, glue_table, kms_key, workgroup0, workgroup1):
     wr.s3.to_parquet(
         df=get_df(),