You have created three distinct data processing jobs as part of your data pipeline management tasks:

1. A Cloud Dataflow pipeline that processes data uploaded to Cloud Storage and writes the transformed data to BigQuery.
2. A data ingestion job that retrieves data from on-premises servers and uploads it to Cloud Storage.
3. Another Cloud Dataflow pipeline that fetches information from third-party data providers and uploads this information to Cloud Storage.

You need a solution that allows you to schedule and monitor the execution of these three workflows and also gives you the capability to manually trigger them when necessary. What approach should you take?