diff --git a/nncf/openvino/graph/layer_attributes.py b/nncf/openvino/graph/layer_attributes.py
index 5609c3f34e0..49b2f64f479 100644
--- a/nncf/openvino/graph/layer_attributes.py
+++ b/nncf/openvino/graph/layer_attributes.py
@@ -80,10 +80,7 @@ def get_backend_agnostic_attributes(self):
 ]
 
 
-OVConvLayout = List[OVLayoutElem]
-
-
-def get_conv_weights_layout_from_node(node: NNCFNode) -> OVConvLayout:
+def get_conv_weights_layout_from_node(node: NNCFNode) -> List[OVLayoutElem]:
     """
     Calculates weights layout for a target convolution node.
 
@@ -97,7 +94,7 @@ def get_conv_weights_layout_from_node(node: NNCFNode) -> OVConvLayout:
     )
 
 
-def get_linear_weights_layout_from_node(node: NNCFNode) -> OVConvLayout:
+def get_linear_weights_layout_from_node(node: NNCFNode) -> List[OVLayoutElem]:
     """
     Calculates weights layout for a target linear node.
 
@@ -126,7 +123,7 @@ def _get_constant_port_id_from_layer_attributes(layer_attributes: OVLayerAttribu
     return port_ids[0]
 
 
-def get_conv_weights_layout(ov_metatype: OVOpMetatype, weights_shape: Tuple[int, ...]) -> OVConvLayout:
+def get_conv_weights_layout(ov_metatype: OVOpMetatype, weights_shape: Tuple[int, ...]) -> List[OVLayoutElem]:
     """
     Calculates weights layout for a target convolution node.
 
@@ -140,7 +137,7 @@ def get_conv_weights_layout(ov_metatype: OVOpMetatype, weights_shape: Tuple[int,
     return tuple(weights_layout)
 
 
-def get_linear_weights_layout(weights_shape: Tuple[int, ...], transpose: bool, port_id: int) -> OVConvLayout:
+def get_linear_weights_layout(weights_shape: Tuple[int, ...], transpose: bool, port_id: int) -> List[OVLayoutElem]:
     """
     Calculates weights layout for a target linear node.
 
diff --git a/nncf/openvino/graph/metatypes/openvino_metatypes.py b/nncf/openvino/graph/metatypes/openvino_metatypes.py
index 4da63cda226..ab1f99a014d 100644
--- a/nncf/openvino/graph/metatypes/openvino_metatypes.py
+++ b/nncf/openvino/graph/metatypes/openvino_metatypes.py
@@ -20,6 +20,7 @@
 from nncf.common.graph.operator_metatypes import OperatorMetatypeRegistry
 from nncf.common.graph.operator_metatypes import UnknownMetatype
 from nncf.common.hardware.opset import HWConfigOpName
+from nncf.openvino.graph.layout import OVLayoutElem
 
 OV_OPERATOR_METATYPES = OperatorMetatypeRegistry("openvino_operator_metatypes")
 
@@ -58,7 +59,8 @@ class OVConvolutionMetatype(OVOpMetatype):
     name = "ConvOp"
     op_names = ["Convolution"]
     hw_config_names = [HWConfigOpName.CONVOLUTION]
-    const_channel_axis = [0]  # const layout: [C_OUT, C_IN, Z, Y, X]
+    const_channel_axis = [0]
+    const_layout = [OVLayoutElem.C_OUT, OVLayoutElem.C_IN]
     output_channel_axis = 1
 
 
@@ -67,7 +69,8 @@ class OVConvolutionBackpropDataMetatype(OVOpMetatype):
     name = "ConvBackpropDataOp"
     op_names = ["ConvolutionBackpropData"]
     hw_config_names = [HWConfigOpName.CONVOLUTION]
-    const_channel_axis = [1]  # const layout: [C_IN, C_OUT, Z, Y, X]
+    const_channel_axis = [1]
+    const_layout = [OVLayoutElem.C_IN, OVLayoutElem.C_OUT]
     output_channel_axis = 1
 
 
@@ -76,7 +79,8 @@ class OVDepthwiseConvolutionMetatype(OVOpMetatype):
     name = "DepthwiseConvolutionOp"
     op_names = ["GroupConvolution"]
     hw_config_names = [HWConfigOpName.DEPTHWISECONVOLUTION]
-    const_channel_axis = [0, 1]  # const layout: [GROUPS, C_OUT / GROUPS, C_IN / GROUPS, Z, Y, X]
+    const_channel_axis = [0, 1]
+    const_layout = [OVLayoutElem.GROUPS, OVLayoutElem.C_OUT, OVLayoutElem.C_IN]
     output_channel_axis = 1
 
     @classmethod
@@ -90,7 +94,8 @@ class OVGroupConvolutionMetatype(OVOpMetatype):
     op_names = ["GroupConvolution"]
     hw_config_names = [HWConfigOpName.CONVOLUTION]
     subtypes = [OVDepthwiseConvolutionMetatype]
-    const_channel_axis = [0, 1]  # const layout: [GROUPS, C_OUT / GROUPS, C_IN / GROUPS, Z, Y, X]
+    const_channel_axis = [0, 1]
+    const_layout = [OVLayoutElem.GROUPS, OVLayoutElem.C_OUT, OVLayoutElem.C_IN]
     output_channel_axis = 1
 
 
@@ -99,7 +104,8 @@ class OVGroupConvolutionBackpropDataMetatype(OVOpMetatype):
     name = "GroupConvolutionBackpropDataOp"
     op_names = ["GroupConvolutionBackpropData"]
     hw_config_names = [HWConfigOpName.CONVOLUTION]
-    const_channel_axis = [0, 2]  # const layout: [GROUPS, C_IN / GROUPS,  C_OUT / GROUPS, Z, Y, X]
+    const_channel_axis = [0, 2]
+    const_layout = [OVLayoutElem.GROUPS, OVLayoutElem.C_IN, OVLayoutElem.C_OUT]
     output_channel_axis = 1