Anirudh S. ^{Top-Executive}

I am a Commercial CDAO and Transformation Executive who bridges the gap between technical infrastructure and enterprise-scale revenue growth. With over 22 years of experience at institutions like MetLife and EY, I specialize in transforming data cost centers into industrialized AI engines that drive measurable P&L outcomes. My expertise lies in architecting Target Operating Models (TOMs) and Data Mesh required to deploy Agentic AI and Generative AI at scale within complex, regulated environments. I don't just lead technical teams; I orchestrate the workforce and governance transformations that enable $500M+ in aggregate impact.

Executive Value Drivers:

🚀 Strategic Revenue Growth: Spearheaded a $15M Customer 360 transformation, projecting $400M in revenue growth by unifying broker and customer data through AI-driven personalization.

⚙️ Enterprise Transformation: Directed an $80M global portfolio, restructuring a 550-person legacy workforce into product-based Agile/DevOps teams that delivered a 15% reduction in run-rate costs and a 25% increase in velocity.

🤖 Industrialized AI: Productionalized Agentic AI and RAG architectures, achieving 50% automation in claims processing and integrating real-time 360-degree views into Salesforce B2B CRM.

🛡️ Governance & Risk: Trusted advisor to C-Suites on Data Governance, Responsible AI, and regulatory defense (AML/Sanctions), successfully navigating high-stakes consent orders.

The Focus:
I am partnering with forward-thinking leadership teams to execute the next generation of AI Strategy—moving from experimental models to industrialized, revenue-generating ecosystems.

Expertise:
Agentic AI | RAG | Data Mesh | Target Operating Models (TOM) | P&L Management | Cloud Infrastructure | Regulatory Compliance.