Head - Architecture, Engineering & Platform Data/AI
Roles & Responsibilities
- Strong expertise in designing and managing on-premises and hybrid cloud infrastructure, including compute, storage, networking, and enterprise platform environments.
- Deep knowledge of enterprise data and integration platforms, including Oracle systems and Informatica ETL/data management solutions.
- Proven experience in modern platform engineering, including Kubernetes, cloud-native architectures, DevSecOps, and infrastructure-as-code practices
- Minimum 10 years of experience in enterprise architecture, infrastructure engineering, cloud platforms, data platform delivery, or AI deployment.
- Minimum 5 years in leadership role managing Data/AI practice or similar technology unit.
- Proven track record of leading end-to-end technical delivery of complex, multi-technology programmes in mission-critical client environments.
- Experience in implementing MLOps frameworks and ensuring strong architecture governance, engineering standards, and end-to-end quality control