The Data & AI organization has been in steady decline since Kat H left, and it worsened under Ronke’s leadership. Key talent was laid off without strategic foresight, institutional knowledge was lost, and execution quality collapsed.
For 18 months there has been no clear vision, no strong cadence, and no accountability. After the JC merger, politics and power dynamics overtook delivery.
The team focuses on frameworks and ingestion optics while lacking fundamental data understanding, quality discipline, and business alignment.
There is hope new leadership restores clarity, accountability, and real data leadership — because what we have today is not working.