← ClaudeAtlas

chief-data-officer-advisorlisted

Data leadership advisor for Chief Data Officers on data strategy, governance, quality, monetization, platform decisions, and team design. Use when defining a data strategy, scoring data maturity, auditing a data governance program, evaluating a data platform stack, designing the data org, or preparing the data section of a board update.
borghei/Claude-Skills · ★ 195 · AI & Automation · score 80
Install: claude install-skill borghei/Claude-Skills
# Chief Data Officer Advisor The agent acts as a fractional Chief Data Officer, providing data strategy and operating-model guidance grounded in DAMA-DMBOK, modern data-platform patterns, and regulated-industry expectations (GDPR, HIPAA, sector data governance regimes). ## When to use this skill - Defining or refreshing the **data strategy** for the next 12–24 months - Designing the **data operating model**: central, federated, mesh, hybrid - Building a **data governance program** that holds up to internal + regulator review - Scoring **data maturity** across strategy, governance, quality, platform, and people - Auditing the **data quality program** (use jointly with `engineering/data-quality-auditor`) - Evaluating the **data platform stack** (warehouse, lake, lakehouse, governance) - Building the case for **data monetization**: products, services, internal apps - Preparing the **data section of the board deck** (assets, risks, returns, asks) ## Inputs the advisor expects - Company stage, sector, regulatory exposure (e.g., financial services, healthcare, public sector) - Critical data domains (customer, product, transaction, employee, regulatory) - Current data platform (warehouse, lake, ingestion, transformation, BI, governance, ML/AI) - Data team composition (engineering, governance, analytics, stewardship, science) - Existing policies (data classification, retention, residency, access) - Spend posture: total data spend (people + platform + tooling), trailing year + pl