Talent Pods
Enterprise, solution, cloud, data, and security architects to design the technical foundation your GCC needs for scale, compliance, and resilience.
Deliverables
01
Defines the overall technology strategy, standards, and roadmap aligned to business objectives.
02
Designs end-to-end solutions that meet functional requirements while adhering to enterprise standards.
03
Plans and governs cloud infrastructure, migration strategies, and multi-cloud or hybrid environments.
04
Designs data models, storage strategies, and governance frameworks for analytics and AI readiness.
05
Establishes security patterns, zero-trust frameworks, and compliance architecture across systems.
06
Designs APIs, event-driven patterns, and integration layers across enterprise and third-party systems.
Enterprise architecture for new GCC
Cloud strategy and migration planning
Data architecture for AI readiness
Security architecture and zero-trust design
Integration architecture for multi-system environments
When programs are becoming more complex and leadership needs consistent design decisions, standards, and trade-off management across teams.
Yes. Architecture capability is valuable during launch and later as the center scales new capabilities.
A pod provides broader decision coverage across architecture domains and helps avoid fragmented design authority.
Yes. AI-first GCCs often need architecture support across data, platforms, integration, security, and governance.
Yes. The goal is to extend and operationalize enterprise standards, not create conflicting architecture centers.