chief-data-officer-advisor

Topics in the source

• Chief Data Officer Advisor
• 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

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/. 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, Airbyte, reverse ETL, feature store, customer data as asset, data monetizat

This is an excerpt. Refer to the complete source and its current requirements.