Senior Manager role focused on building and operating MLOps platforms and ensuring end-to-end observability for ML systems within a healthcare company. The role involves leading the design and implementation of platforms for model deployment, monitoring, and lifecycle management, integrating with cloud-native environments and DevOps practices. Key responsibilities include establishing observability tooling, defining reliability signals, implementing testing and validation, and enabling data scientists to move models to production safely. The role also emphasizes people leadership and continuous improvement using SRE principles.

Senior Manager, Cloud Infrastructure Engineer at Pfizer responsible for architecting, building, and operating cloud-native infrastructure (AWS/Azure) to support AI/ML workloads, data pipelines, and model execution. This includes owning infrastructure-as-code, CI/CD pipelines, Kubernetes, and MLOps components, ensuring reliability, security, and scalability for analytics and ML teams. The role focuses on enabling AI/ML infrastructure without directly owning data science outcomes.