It feels like you're mixing items. The Parameterization ? is a placeholder for a variable which, in an OLE DB Source component, you'd click on the Parameters button and map.
However, since you're using the SQL Command from a Variables, that doesn't allow you to use the Parameterization option, probably because the risk of a user changing the shape of the result set, via Expressions, is too high.
So, pick one - either "SQL Command" with proper parametetization or "SQL Command from Variable" where you add in your parameters in terrible string building fashion like Dynamically assign value to variable in SSIS SQL Server 2005/2008/2008R2 people, be aware that you are limited to 4k characters in a string variable that uses Expressions.
Based on the comment of "Basically what I am trying to do is use the results of a query from a SQL Server table, (ie ..account numbers) and pull records from Oracle reference the results from the SQL query"
There's two ways of going about this. With what you've currently developed, my above answer still stands. You are shredding the account numbers and using those as the filter in your query to Oracle. This will issue a query to Oracle for each account number you have. That may or may not be desirable.
The upside to this approach is that it will allow you to retrieve multiple rows. Assuming you are pulling Sales Order type of information, one account number likely has many sales order rows.
However, if you are working with something that has a zero to one mapping with the account numbers, like account level data, then you can simplify the approach you are taking. Move your SQL Server query to an OLE DB Source component within your data flow.
Then, what you are looking for is the Lookup Component. That allows you to enrich an existing row of data with additional data. Here you will specify a query like "SELECT AllTheColumnsICareAbout, AccountNumber FROM schema.Table ". Then you will map the AccountNumber from the OLE DB Source to the one in the Lookup Component and the click the checkmark next to all the columns you want to augment the existing row with.