New Roadmap Suggestion: Data Governance

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Direzione di ricerca

Read the repository’s existing roadmap proposals and roadmap authoring guidance to understand how an accepted roadmap is structured. This issue proposes a broad Data Governance roadmap but names no implementation files or tests; first determine whether the proposal is accepted and where roadmap content belongs. Done means the roadmap is accepted and its proposed topics are represented in the project’s roadmap format.

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Descrizione

roadmap contribution
What is the title of the roadmap you are submitting?

Data Governance

Roadmap Link

Hi team,

I'd like to suggest a Data Governance Roadmap. roadmap.sh has excellent maps for Data Engineer, AI & Data Scientist, DBA and Software Architect, but there is no roadmap for data governance — even though governance is now a named requirement in most enterprise data/AI job postings, and AI adoption has made it a board-level topic.

Proposed audience: data stewards, data/platform engineers moving into governance roles, data architects, and data leaders (Director/VP Data, CDO track).

Proposed top-level structure:

  1. Foundations — what data governance is/isn't, business drivers, DAMA-DMBOK knowledge areas
  2. Operating Model — governance council, data owners & stewards, RACI, decision rights, federated vs centralized models
  3. Policies, Standards & Controls — policy lifecycle, standards, control design, exception handling
  4. Data Quality — dimensions (accuracy, completeness, timeliness…), rules, profiling, monitoring, issue remediation
  5. Metadata, Catalog & Lineage — business glossary, technical/business/operational metadata, cataloging, end-to-end lineage
  6. Master & Reference Data Management
  7. Privacy & Regulatory Compliance — GDPR, CCPA/CPRA, HIPAA basics, classification, consent, retention & deletion
  8. Data Security Governance — access governance, least privilege, masking, audit trails (working with security teams)
  9. Data Lifecycle Management — retention schedules, archival, disposal
  10. Governance for Analytics & AI — dataset readiness, data contracts, model/AI governance basics, responsible AI checkpoints
  11. Metrics, Maturity & Communication — governance KPIs, maturity models, reporting to leadership
  12. Tools Landscape — Collibra, Alation, Microsoft Purview, Atlan, Informatica, Unity Catalog, Apache Atlas (vendor-neutral coverage)
  13. Roles & Career Path — steward → governance lead → Head of Data Governance/CDO; certifications (DAMA CDMP, IAPP CIPP/CIPM overview)

I'm a data & AI architect with 21+ years in enterprise data platforms, including regulated-industry governance programs (GxP/SOX/HIPAA), and I'm happy to author the initial content for the nodes if the topic is accepted.

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