chief-data-officer-advisor
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 decis
Profile →npx skills add alirezarezvani/claude-skills --skill chief-data-officer-advisor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Chief Data Officer Advisor Strategic data leadership for startup CDOs and founders without one. **Four decisions, no surveys:** 1. **Can we train our model on this data?** — origin × consent × use-case matrix 2. **Warehouse, lakehouse, or mesh — and what do we build vs buy?** — stage-driven architecture 3. **What is our customer data worth?** — strategic value + M&A multiplier + productization paths 4. **What data role do we hire next?** — stage-to-role map, centralize-vs-embed trigger This skill does **not** cover tactical data engineering. For schema design, observability, query optimization, RAG, or ML platform implementation, see `engineering/database-designer/`, `engineering/observability-designer/`, `engineering/data-quality-auditor/`, `engineering/sql-database-assistant/`, `engineering/rag-architect/`, `engineering/llm-cost-optimizer/`. ## Keywords CDO, chief data officer, AI training data, consent provenance, training rights, GDPR Article 6 lawful basis, GDPR Article 22, EU AI Act high-risk, ePrivacy, copyright fair use, hiQ v. LinkedIn, scraped data, synthetic data, data product, data mesh, lakehouse, medallion architecture, dbt, Snowflake, BigQuery, Databricks, Fivetran
- Keywords
- Quick Start
- Key Questions (ask these first)
- Core Responsibilities
- 1. AI Training Data Rights
- 2. Data Product Strategy
- 3. B2B Customer-Data-as-Asset
- 4. Data Team Org Evolution
- Workflows
- Workflow 1: AI Training Decision (1 hour)
- Workflow 2: Architecture Decision (1 day)
- Workflow 3: Data Asset Valuation for M&A Prep (3 days)
- Workflow 4: Data Team Roadmap (1 week)
- Output Standards (when invoked via cs-cdo-advisor)
Audit data sources for AI training eligibility python scripts/ai_training_data_audit.py # uses embedded sample python scripts/ai_training_data_audit.py path/to/sources.json Pick data architecture + build-vs-buy + sequencing python scripts/data_product_strategy_picker.py # uses embedded Series A SaaS python scripts/data_product_strategy_picker.py path/to/profile.json Value the customer data corpus + productization viability python scripts/data_asset_valuator.py # uses embedded B2B sample python scripts/data_asset_valuator.py path/to/corpus.json python scripts/ai_training_data_audit.py sources.json
What does the chief-data-officer-advisor skill do?
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 decis
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill chief-data-officer-advisor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.