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Chief Data Officer Advisor

技能 已验证 活跃

Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.

目的

To equip startup founders and CDOs with strategic decision-making frameworks for data governance, productization, and team building, enabling them to navigate complex data challenges effectively.

功能

  • AI training data rights audit and decision matrix
  • Data architecture selection (warehouse, lakehouse, mesh)
  • Data asset valuation for M&A and fundraising
  • Data team hiring roadmap and org evolution guidance
  • Automated analysis scripts for key decision points

使用场景

  • Deciding whether to train models on customer data
  • Choosing between warehouse, lakehouse, or data mesh architecture
  • Valuing data assets for fundraising or M&A preparation
  • Sequencing data team hires based on company stage
  • Understanding AI Act and GDPR implications for training data

非目标

  • Tactical data engineering or implementation details
  • Providing legal advice (instead, surfaces decisions for counsel)
  • Handling specific technical data pipeline configurations

工作流

  1. Audit data sources for AI training eligibility using `ai_training_data_audit.py`.
  2. Pick data architecture and build-vs-buy strategy using `data_product_strategy_picker.py`.
  3. Value customer data corpus and assess productization viability using `data_asset_valuator.py`.
  4. Develop data team hiring roadmap based on company stage and decision needs.
  5. Consult adjacent skills (legal, ciso, cfo) for cross-functional validation.
  6. Log strategic decisions via `/cs:decide`.

实践

  • Data governance
  • Strategic decision-making
  • AI ethics and compliance
  • Data product management

先决条件

  • Python 3.x environment for running utility scripts
  • JSON input files for script analysis
  • Consultation with legal counsel for binding decisions

安装

请先添加 Marketplace

/plugin marketplace add alirezarezvani/claude-skills
/plugin install c-level-advisor@claude-code-skills

质量评分

已验证
98 /100
1 day ago 分析

信任信号

最近提交1 day ago
星标14.6k
许可证MIT
状态
查看源代码

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