Head of Data & AI | Building Responsible, Scalable AI Systems That Drive Revenue & Trust
- Data as a Product: Treat datasets, models, and pipelines as products with SLAs, owners, and user feedback loops
- AI Governance First: Embed ethics, security, and compliance before model training—not as an afterthought
- Business-First Metrics: Track ROI on data initiatives (e.g., "Reduced customer churn by 18% via real-time anomaly detection")
| Initiative | Impact | Evidence |
|---|---|---|
| Enterprise Data Mesh | Cut time-to-insight by 65% across 12 business units | tbc (link) |
| Data Governance Board | Reduced model bias incidents by 92%; enabled GDPR-compliant LLM deployment | tbc (link) |
| DataOps Platform | Scaled model deployments from 3/week → 47/week; reduced retraining latency by 80% | tbc (link) |