Srinivasan Sankar

Turning Data & AI into Measurable Enterprise Value

The Bottom Line: I am an "operator-first" executive with 30 years of experience who transforms complex data ecosystems into highly profitable, AI-driven capabilities. I bridge the gap between visionary strategy and hands-on execution, ensuring technology investments yield verifiable business growth.

Agentic Workflows
Autonomous Execution
Governance & Ethics
Responsible Scaling
Commercial Impact
$600M+ Proven ROI

How I Drive Results

Three core pillars define my approach to enterprise technology leadership.

Enterprise Data Modernization

I untangle complex technical debt. By transitioning organizations from fragile legacy systems to robust, cloud-native architectures (Data Mesh/Lakehouses), I create the essential, governed data foundation required for advanced analytics and AI integration.

AI-Driven Delivery Capability

I move enterprises beyond "pilot purgatory." Whether founding AgentisIQ to deploy vertical AI agents or advising Fortune 100 clients, I embed Generative AI and automation directly into core workflows to radically accelerate speed-to-market and productivity.

Governance & Global Scaling

Innovation requires guardrails. I chair Architecture Review Boards and establish "Responsible AI" frameworks that ensure strict compliance (HIPAA, GDPR) and ethical transparency, while scaling these capabilities across highly matrixed, global teams.

The Evidence

Selected outcomes demonstrating the execution of these pillars.

AgentisIQ & CDAIO

Founder & Chief AI Advisor (2024 - Present)

AI Architecture & Advisory
  • Building Agentic Platforms: Architecting vertical AI agents for the P&C insurance sector, targeting a projected $100B in industry benefits through intelligent decisioning and predictive intelligence.
  • Operational Execution: Pioneered the BeautyOS enterprise intelligence platform for an 800+ location chain, transforming a fragmented landscape into a unified, AI-powered operational ecosystem.
  • Strategic Advisory: Providing executive roadmaps to global organizations via CDAIO, bridging the gap between C-suite strategy and technical LLM deployment, while establishing robust frameworks for Responsible AI.

McKinsey & Company

Expert AI Strategist (2023 - 2024)

Enterprise Transformation
  • Velocity Acceleration: Engineered automated approaches for enterprise data architecture that reduced implementation time from months to just 14 days, creating a repeatable model for rapid client time-to-value.
  • Governance Design: Established Ethical and Responsible AI governance frameworks for Fortune 500 clients, ensuring compliance with global regulatory standards while enabling production-ready GenAI environments.
  • Pilot-to-Scale: Championed operational excellence by formalizing feedback loops between pilots and scaled deployments, advising business leaders on practical adoption plans rather than theoretical slide decks.

The Hanover Insurance Group

AVP – Enterprise Data & Analytics (2015 - 2023)

Cloud Scaling & ROI
  • Massive ROI Generation: Delivered $600M in measurable value (a 6X multiplier) by modernizing cloud-based data platforms (Azure, Databricks) and embedding intelligent analytics tools into 70% of core business processes.
  • Culture Transformation: Led a comprehensive data literacy initiative that resulted in a 400% increase in analytics adoption (over 4,000 users) by championing self-service models and upskilling talent.
  • Board-Level Governance: Chaired the Data Governance Council and Architecture Review Board (ARB), establishing rigorous KPI measurement and reporting outcomes directly to the Board of Directors.

FINCA International

Chief Data Officer (2013 - 2015)

Global Decentralized Ops
  • Global Reach: Spearheaded enterprise data governance and analytics strategy across a highly decentralized 23-country network.
  • Financial Oversight: Governed a $40M+ IT budget, deploying cloud-native analytics platforms that integrated multi-domain operational data into actionable intelligence for global executive decision-making.