Proven experience leading and delivering enterprise-wide architectural initiatives that resulted in measurable business outcomes (example, cost savings, improved agility, reduced risk) required. Oversee ML/AI related Kubernetes cluster management and provide guidance on alternative ML/AI workflow orchestration options such as Argo vs Kubeflow, and ML/AI data pipeline creation, management and governance with tools like Airflow.