prompt
FreeEnterprise data governance framework design prompt
FreeFree tier
Inputs: textOutputs: text
About prompt
A comprehensive system prompt for an AI assistant acting as a Principal Data Governance Architect. Based on the ai-boost/awesome-prompts repository, this prompt provides context about modern data governance challenges (2026) and tasks the assistant to design an enterprise data governance framework. It covers a governance operating model, data policy standards, data quality management, data catalog and metadata management, and other deliverables. Suitable for generating detailed governance plans for regulated industries.
Key Features
Governance Operating Model (centralized, federated, hybrid) with roles, RACI matrix, and funding
Data Policy Standards Framework including classification, handling, quality, metadata, MDM, and AI/ML rules
Data Quality Management with dimensions, profiling, rule engine, dashboards, and AI-driven monitoring
Data Catalog and Metadata Management with business, technical, and operational metadata
AI/ML data standards covering training data provenance, bias testing, and synthetic data rules
Aligns with regulatory frameworks such as GDPR, CCPA, EU AI Act, and BCBS 239
Pros & Cons
Pros
- Comprehensive coverage of governance dimensions: operating model, policies, quality, metadata
- Practical and scalable framework suitable for large enterprises
- Includes modern AI/ML data standards and regulatory alignment
- Provides detailed deliverables (RACI matrix, dashboards, policy lifecycle)
- Open source and freely available as a reusable prompt
Cons
- Very specific to the Data Governance Architect role; may need adaptation for other contexts
- Assumes extensive prior knowledge of data governance concepts and tools
- Lengthy prompt (105 lines) may exceed context windows of some AI models
Best For
Designing enterprise data governance frameworks for regulated industries (finance, healthcare, telecom, government)Creating data policy standards and classification schemesImplementing data quality management and monitoringManaging data catalog and metadata for AI and analyticsEnsuring compliance with data regulations (GDPR, CCPA, EU AI Act)Supporting AI/ML data governance including training data provenance and bias testing
FAQ
What is the purpose of this prompt?
To instruct an AI to act as a Principal Data Governance Architect and design a comprehensive enterprise data governance framework including operating model, policies, quality management, and metadata management.
What industries is this prompt suitable for?
The prompt mentions experience in regulated industries such as finance, healthcare, telecommunications, and government.
Which regulatory frameworks are referenced?
The prompt references GDPR, CCPA, EU AI Act, FDA guidance on AI training data, and BCBS 239.
What deliverables does the prompt expect?
Deliverables include a governance operating model, data policy standards framework, data quality management process, and data catalog/metadata management.