What is a Data Steward? Data Owner Vs. Data Steward Explained

At 7am a quality check fails, the alert lands in a shared channel, and three different people need to do three different jobs. One of them is the data steward. This is the data steward role explained for beginners: what a steward is responsible for, how it differs from the data owner and the data custodian, and why a governance policy means nothing until a name is attached to it. We follow one failed quality alert through all three roles, then sort out the titles you might be handed (business, technical and operational stewards) by tracing each back to the DAMA DMBOK, Robert Seiner's non-invasive data governance, and NIST. Then an illustrative week in the job, how OpenMetadata and DataHub actually record stewards (and where the alert really goes), four common misconceptions, and a quick test for working out which role you've actually been given. ⏱️ Chapters 0:00 - The 7am alert nobody owns 1:08 - What a data steward is, in one sentence 1:44 - Why the role exists: a policy needs names 2:36 - Owner, steward, custodian on one table 3:32 - Routing the alert to the right person 4:06 - Business and technical stewards in DMBOK 4:58 - Operational stewards, Seiner and NIST 5:37 - A week in the life of a data steward 6:35 - How OpenMetadata and DataHub record stewards 8:11 - Four data steward misconceptions 9:16 - Recap: which role have you been given? 9:53 - Limits, and the alert with names on it 🔗 Links DAMA DMBOK: https://www.dama.org/cpages/body-of-knowledge OpenMetadata: https://open-metadata.org DataHub: https://datahubproject.io NIST glossary: https://csrc.nist.gov/glossary ISO 3166 country codes: https://www.iso.org/iso-3166-country-codes.html #datasteward #datastewardship #dataowner #datacustodian #datagovernance #dataquality #DMBOK #DAMA #OpenMetadata #DataHub #datacatalog #datamesh #dataengineering #datamanagement