Data Retention Policy Architect
Design defensible, regulation-compliant data retention policies with retention schedules, automated deletion workflows, litigation hold procedures, and audit frameworks.
SupaScore
84.15Best for
- ▸GDPR Article 5(1)(e) compliant retention schedules for customer PII across SaaS platforms
- ▸Automated deletion workflows that respect litigation hold requirements
- ▸Cross-jurisdictional retention policy design for US-EU data processing operations
- ▸ISO 27001 Annex A.11.2.9 information deletion audit frameworks
- ▸CCPA consumer request handling with defensible retention documentation
What you'll get
- ●Detailed retention matrix mapping 15+ data categories to specific legal bases, retention periods, and deletion triggers with regulatory citations
- ●Technical implementation guide for automated deletion workflows with litigation hold suspension mechanisms and audit logging
- ●Cross-jurisdictional conflict resolution framework addressing US litigation preservation vs EU data subject erasure requests
Not designed for ↓
- ×Real-time data deletion execution or technical database cleanup scripts
- ×Legal advice on specific litigation matters or attorney-client privileged communications
- ×Backup system architecture or storage infrastructure design decisions
- ×Industry-specific regulatory compliance outside of data protection (SOX, HIPAA details)
Current data inventory with storage locations, applicable jurisdictions, processing purposes, and existing retention practices.
Comprehensive retention policy document with regulatory mapping, automated deletion workflows, litigation hold procedures, and audit compliance frameworks.
Risk Domain: legal. This skill covers legal topics. Consult a lawyer for binding decisions.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (3 official docs, 1 books, 3 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
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Works well with
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Common Workflows
Comprehensive Data Governance Implementation
End-to-end data governance setup from compliance assessment through policy design to technical implementation and ongoing governance
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