Sarah Okonkwo has held the CDO seat at a top-5 UK universal bank for two years, having spent the prior decade as Head of Data at a European fintech she helped scale to acquisition. Her mandate at the bank was framed publicly at her joining: a five-year "data-first AI transformation" with three explicit KPIs — customer knowledge unification, regulatory-grade AI grounding, and agentic BI at scale. Her published maturity assessment (Sibos October 2025 keynote) placed her bank at "Level 2 with pockets of Level 3" against a Forrester-derived framework very similar to the 4-layer model. She writes frequently on LinkedIn about the gap between AI ambition and knowledge readiness — her exact phrase in the Sibos talk was "77% of our data is not yet contextualized for agents to use reliably" (citing the Teradata/Wakefield 2026 study, which she does not name as Teradata's). She is aware of the analyst frameworks (Forrester Data Fabric Q4 2025 in particular) and has cited them by name. Her strongest publicly-expressed weakness: the Translation Layer (semantic grounding for AI) — she has said publicly that "grounding is the layer nobody costed for." Her boss, the Group COO, has publicly committed to AI-transformation milestones tied to regulatory attestation. Public gap: no known conversation on the Policy Layer or on the Agentic Layer's evaluation and memory requirements; her focus appears to be Knowledge Layer and Translation Layer.