The Supervisor, Data Operations & Management role involves designing, building, and enhancing enterprise AI/ML platform capabilities on Google Cloud Platform. Working within the data and AI infrastructure space, the individual will develop scalable platform services, automation frameworks, and self-service capabilities to help data scientists and engineers operationalize solutions. Daily responsibilities include creating reusable components, SDKs, and CI/CD pipelines while implementing Infrastructure as Code via Terraform. The role focuses on governance, security standards, and reliability through monitoring and observability. Key technical requirements include proficiency in Python, Vertex AI, BigQuery, Cloud Storage, Cloud Functions, Cloud Run, and Dataflow. Additionally, the candidate will utilize tools such as GitHub Actions, pytest, SonarQube, Docker, Kubernetes, and workflow orchestrators like Airflow or Astronomer to manage platform lifecycle, ensure compliance, and improve developer experience across the organization.