Chief Data Officer

Why this role exists

Data problems present as arguments about numbers. Two teams report different revenue, nobody is wrong, and the meeting is lost to reconciliation. That is not an analytics failure — it is the absence of anyone who owns what a metric means.

Remit

• Definitions. What each business metric means, computed one way, in one place.
• Governance. Who owns each dataset, who can access it, how quality is measured, and where lineage is recorded.
• Platform. Warehouse, pipelines, and the semantic layer everything reads through.
• Analytics capability. Whether the organization can answer its own questions.
• Model and AI governance. What is deployed, on what data, evaluated how, monitored for what.

What this role owns