Sridhar G.
Division Chief, Enterprise Architecture & Artificial Intelligence @U.S. Department Of Labor
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WORK HISTORY
Division Chief, Enterprise Architecture & Artificial Intelligence @U.S. Department Of Labor
Washington, DC, US
SKILLS
ABOUT SRIDHAR G.
Transformational Technology Leader | Enterprise Business Services, Cloud Engineering & Digital Transformation | Artificial intelligence Researcher & ScientistResults-driven technology executive with 24+ years of global leadership delivering enterprise-scale digital transformation, cloud modernization, and business services innovation. Proven in leading 60+ matrixed teams across application development, cloud engineering, solution architecture, AI/ML, and data platforms to drive measurable business outcomes aligned with strategic objectives.Enterprise Technology Leadership: Established business-outcome-driven delivery models spanning cloud, application, solution architecture, and shared services. Championed enterprise cloud strategy, agile transformation, and modernization initiatives that accelerate time-to-market while ensuring operational excellence.Cloud & Modernization Strategy: Directed large-scale cloud migration programs, including Azure-to-AWS and on-premises-to-AWS transitions for 100+ applications. Defined cloud-native architectures, hybrid integration patterns, API frameworks, and DevOps practices leveraging AWS, Azure, and GCP. Led legacy modernization, microservices transformation, and platform consolidation.Portfolio & Investment Management: Managed 600+ applications including Salesforce, ServiceNow, Snowflake, Appian, OutSystems, and custom platforms. Made strategic build-versus-buy decisions, drove application rationalization, and managed $200M+ budgets while optimizing ROI and reducing technical debt.AI, Data & Analytics Transformation: Defined enterprise AI strategy using AWS Bedrock, Azure OpenAI, Anthropic Claude, GCP Vertex/Gemini. Led data warehouse modernization migrating 50+ TB across 500+ sources to Snowflake, implementing lakehouse architectures, real-time streaming pipelines, and self-service analytics.Agile & DevOps Excellence: Drove enterprise-wide Agile adoption (SAFe, Scrum, Kanban). Implemented automated CI/CD, infrastructure-as-code, containerization (Docker/Kubernetes), and cloud-native delivery practices to improve release frequency, quality, and system stability.Executive Partnership & Influence: Trusted advisor to C-suite and board members, translating strategy into technology roadmaps. Expert in stakeholder engagement, vendor governance, cross-functional collaboration, and enterprise-wide transformation.
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