• Act as a trusted technical advisor to the teams, customer executives, and technical leadership, translating complex technical roadmaps into clear business value and risk assessments • Define the multi-year, enterprise-wide strategy for cloud adoption, migration, and modernization, with a strong focus on GCP services and strategic interoperability with the second cloud platform (Pref AWS) • Establish and enforce global cloud governance frameworks, architectural standards, reference models, and reusable patterns for deployment, security, and operations across all environments • Drive advanced DevOps practices and accountability models • Oversee cloud cost optimization initiatives, and establish technical guardrails to ensure maximum ROI across the multi-cloud footprint. • Architect and lead the implementation of complex, large-scale solutions on GCP, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner • Design and govern the integration patterns for hybrid and multi-cloud systems, focusing on low-latency, secure connectivity, and consistent Identity and Access Management (IAM) across platforms (e.g., using federated identity or centralized key management) • Define the DevSecOps and cloud security posture, ensuring that designs meet stringent regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA) • Lead Proof-of-Concept (PoC) initiatives for emerging technologies like Generative AI (e.g., Google Vertex AI or AWS Bedrock), serverless computing, and define their eventual architecture and integration into the enterprise landscape • Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments • Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default. • Mentor, coach, and grow a group of Senior/Lead Cloud Engineers, fostering a culture of engineering excellence, ownership, and continuous learning • Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps and end-to-end automation across the development lifecycle • Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals • Elevate the organization’s technical brand by authoring engineering blogs and whitepapers, and representing the company as a speaker at industry conferences and meetups.