What does a day in the life of a data steward really look like? This podcast pulls back the curtain on the people who keep enterprise data trustworthy, usable, and compliant. We will discuss how these data steward navigate through the rhythms of their day—triaging data incidents, curating metadata, negotiating business definitions, enforcing access controls, and coordinating fixes across engineering, analytics, and business teams. We explore both process realities and the best practices in place to ensure trust.
Listeners will hear examples of the typ...
What does a day in the life of a data steward really look like? This podcast pulls back the curtain on the people who keep enterprise data trustworthy, usable, and compliant. We will discuss how these data steward navigate through the rhythms of their day—triaging data incidents, curating metadata, negotiating business definitions, enforcing access controls, and coordinating fixes across engineering, analytics, and business teams. We explore both process realities and the best practices in place to ensure trust.
Listeners will hear examples of the types of data sources stewards wrestle with and learn how stewards set and enforce quality rules, measure trust, and assign clear ownership to ensure accountability. From root-cause investigations and remediation workflows to balancing speed with governance, the podcast surfaces recurring pain points and pragmatic solutions, with real-world stories, lessons learned, and actionable tips for improving processes, tooling, and cross-team collaboration.
Key Topics of Discussion:
- The evolving role of data stewards
How data stewards act as “data guardians,” ensuring data is accurate, consistent, and usable across the business, and how the role is becoming more strategic over time.
- Cross-functional collaboration and breaking silos
The importance of working across finance, IT, and other business units to treat data as a shared enterprise asset rather than something owned by one team.
- Data governance, prioritization, and business value
How teams decide which data issues or projects to tackle first based on impact, business value, and dependencies across processes.
- Challenges: stakeholder management, education, and pushback
The need to educate others about data, handle difficult conversations, and push back on requests that could harm data quality or long-term outcomes.
- Technology and tooling enabling data stewardship
The role of tools like data catalogs, lineage tracking, master data governance (MDG), and unified data platforms in supporting transparency, quality, and scalability.
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Additional Resources:
To learn more about SAP Data and Analytics solutions, please check out SAP Business Data Cloud at https://www.sap.com/products/data-cloud.html
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