Define and drive the roadmap for AI-enabled anomaly detection, including specifying requirements for statistical and ML-based detection methods (e.g., time-series forecasting, seasonality-aware baselining, change-point detection, multivariate anomaly detection across correlated metrics/traces/logs). We own the libraries, distributed services, and infrastructure that power ingestion, storage, and query across the observability stack - Iceberg, ClickHouse, Tempo, Mimir, Grafana, S3, Kafka, and Elasticsearch - serving traces, metrics, and logs for every workload at Workday.