Enterprise Multi-Cloud Data & AI Strategy
Architected and operationalized the bank's enterprise multi-cloud strategy for GCP and Azure, establishing architectural consistency, accelerating secure service adoption, and enabling faster time-to-market.
Project Overview
In 2024, I architected the bank's Enterprise Multi-Cloud Data & AI Strategy, serving as the principal architect behind a transformative initiative to unify Data and AI capabilities across GCP and Azure.
I developed a comprehensive reference architecture—shared with senior executives—that defined the strategic, logical, and physical layers of the bank’s cloud-native data and AI ecosystem. This established a clear target state vision centered on scalable and secure services across cloud platforms.
Key Features
- Introduced Cloud Data Archetypes—prescriptive, reusable patterns that accelerated solution delivery.
- Significantly accelerated secure cloud service adoption and reduced redundant design efforts.
- Improved cross-cloud interoperability and enhanced architectural governance.
- The architecture's reuse and visibility at the executive level reinforced its strategic value and enterprise impact.
Technologies Used
Project Details
Client
Major Financial Institution (Internal)
Timeline
2024
Role
Principal Architect
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