Director Enterprise Architecture (Ai Governance)
Responsible for Enterprise Architecture for an eco-system that supports 600+ applications on a diverse IT stack supporting 5,000+ users. Currently, focused on Enterprise AI Governance and leading AI Clearinghouse (an AI Inventory system). AI Governance is focused on control environment, regulatory reporting, inventory tracking and reporting, AI Strategy and AI adoption across all divisions. Regulatory obligations for AI are being determined and governed. On-boarded Google Cloud Platform to drive a new wave of data innovation with scalable data platforms, robust AI applications and rich machine learning capabilities. Driving GCP security controls architecture to adhere to enterprise IT directives for security and risk. Single Family innovation lab deployed ChatBot on GCP leveraging DialogFlow and Document AI as an AI-powered mortgage processing solution. Driving AWS adoption for Modern Data Architectures. Over the years driven adoption and data innovation leveraging Big Data, Advanced Analytics, Machine Learning, NoSQL databases, Metadata, Master Data and Future state of data-warehouse. Designed MPP DB2 data warehouse, Snowflake, Redshift and BigQuery. AWS S3 and GCP Cloud Storage based cloud native data lakes, columnar Analytics platform on Vertica, BigTable and ParAccel. BIG Data platforms like HortonWorks/Cloudera, EMR and dataproc and NoSQL platforms like MongoDB, DynamoDB, MarkLogic, HBase.Lead Enterprise Innovation Lab for many years, facilitating research on DevOps, Data Platforms and Private Cloud, including Cloud Data Lakes, Data Virtualization using Denodo, Azure SQL, MongoDB, HCI Infrastructure, SDN and SDS Lead technology technology governance that included Architecture Review Board, and a CoE that enforces standards and reference architectures for Cloud, Data, AI/ML, Application and SecurityBuilt an Enterprise Data Engineering team, managing operations and engineering of data management, data integration, data security, and data analytics