Sanjoy Das

About Sanjoy Das

I am an Enterprise Data, Cloud, and AI Architect with over 24 years of experience in delivering large-scale digital transformation programs across various sectors, including Insurance and Life Sciences. My expertise lies in Enterprise Architecture, Agentic AI, Generative AI, Hyperautomation, Cloud Migration, and Data Governance. I have a proven track record of leading multi-year initiatives that encompass RPA, GenAI, and AI-driven productivity transformations, ensuring that technology aligns with business strategies and compliance mandates.Throughout my career, I have successfully designed and implemented cloud-native and hybrid architectures, driving innovation and scalability. I have a strong background in defining target-state architectures and governance frameworks, which has enabled organizations to achieve significant operational improvements. My leadership in AI and automation has resulted in measurable outcomes, including enhanced productivity and reduced operational costs.Key Achievements- Mentored a high-performing team of 12 Agentic AI engineers, fostering innovation and scalable AI solutions- Architected enterprise-scale data management solutions handling over 2 petabytes of data across multiple regions, ensuring seamless integration and governance- Delivered a 30% reduction in FTE effort and improved throughput timelines by 22-25% through the implementation of RPA and AI initiatives- Enhanced operational efficiency by maintaining defect rates below 2% while achieving a 20-22% improvement in productivity through intelligent automation.

Experience

1. Sr Enterprise Architect

   埃森哲

   Jul 2022 — Present · Kolkata, IN

   I will be involved in Conceptualizing, Architecting and Reviewing the various Solutions we will be proposing or implementing to our BFSI Clients on Cloud namely AWS, Azure and Google.• Currently working as an Enterprise Architect in the Data and AI Division where I am responsible for creating and reviewing Future sate scalable and flexible AI-Ready solutions aligned with architecture standards, organization guidelines and business goals • Have created the Solution Roadmap to improve the productivity of a Large General Insurer based out in North America in phases – first through RPA and Gen AI and then implementing Agentic AI with an Improvement target of 40% from TAT and 35% from FTE perspective• Designed a transition plan toward future-state applications enabled by Gen AI, including Agentic AI systems (autonomous agents) and Address capability gaps, integration points, and technological evolution• Have completed the Migration of Petabytes of Data from 30+ disparate Source System to a Unified Data Lakehouse on Azure Cloud (ADLS Gen2) using Azure Databricks, ADF, SQL DWH etc. for a Pharma Giant of UK including implementing of Data Governance across Geographies for Data Integration and Unification • Have worked on the Executive Data Governance Council in Scripting and Validation of the Data Governance Rules to be implemented across the Enterprise and getting the Business Stakeholders buy in the same. Also worked across vendors to implement the DG Rules using Master Data Management (MDM) and ensure the same is maintained and adhered to by adding the Reward and Reprimand clauses in the individual contracts of the Vendors.

Skills

• Testing
• Node Red
• Project Management
• Watson Iot
• Test Automation
• Agile Methodologies
• Software Project Management
• Recruitments
• Human Resources
• Java
• Analysis
• Software Development Life Cycle (Sdlc)
• Sdlc
• Qtp
• Talent Acquisition
• Oracle
• Requirements Analysis
• Sourcing
• Business Analysis
• Screening
• Hp Quality Center
• Pl/Sql
• Vendor Management
• Team Management
• Sql
• Quality Center
• Ibm Infosphere
• Mis
• System Testing
• Tableau
• Mongodb
• Resource Management
• Customer Relationship Management (Crm)
• Manual Testing