6 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
Most days you write or update data governance policies—rules about who can access data, where it’s stored, and how long it’s kept. You use frameworks like a company’s policy template or industry standards and map them to systems such as Microsoft Fabric where datasets live.
You also meet IT teams to check policy adherence, run or review data audits (actual reports from Power BI or Fabric), and write the procedures people follow when handling data. Expect a mix of meetings, policy drafts, and hands-on checks in the actual systems.
You’ll use Microsoft Fabric to see where data is stored, catalog datasets, and apply governance tags. Power BI is used to run and share the data-audit reports and dashboards that show data quality and compliance metrics.
Microsoft Copilot helps draft policies, summarize audit findings, and generate procedure templates, but you still verify and approve its output. Copilot speeds writing and reporting; Fabric and Power BI hold and show the data.
Yes, Copilot is a helpful drafting tool: it can produce policy language, procedure templates, and training outlines quickly. But you must review everything for accuracy, legal compliance, and company-specific rules—Copilot can hallucinate details or miss local laws.
For training, use Copilot to make slides or scripts, then run them in a live session. Store final approved materials in your governance area in Microsoft Fabric or your company’s learning platform.
A Governance Consultant focuses on policies, compliance, and procedures—writing rules, auditing for compliance, and training people. You bridge business and IT and use tools like Power BI and Fabric to check adherence.
A Data Steward is often the ongoing owner of a dataset (day-to-day quality fixes). A Data Engineer builds pipelines and transforms data. Both roles work with you: engineers change systems to meet policies; stewards apply procedures you write.
All three matter, but weight is roughly: 35% writing and policies, 35% technical (Fabric and Power BI), 30% people skills. You must write clear policies and procedures, run audits in Fabric/Power BI, and meet IT and business teams to get them to follow rules.
If you’re weak technically, learn to export metadata and build a basic Power BI report. If you’re weak at writing, practice turning audit findings into a one-page action list people can follow.