Kamlesh B.

About Kamlesh B.

Outcome-driven technical leader with 20+ years of experience strategizing and delivering data and AI solutions for Fortune 500 enterprises. Expert in Gen AI, modern data architectures, data engineering, advanced analytics, and Data Governance. Biased for action. Demonstrated track record of creating data strategy, roadmaps and delivering positive business impact through successful execution of the roadmap. Experienced in all major cloud platforms and modernization of data ecosystem to position data as an organizational asset. Servant-leadership style and experience of having built, motivated and managed high performing teams across geography and cultures by leading from the front. Rare ability to build bridges between business and technology teams. Skilled in communicating complex ideas in simple yet effective terms at all levels of organization including technology professionals, business reps and executive leadership.CORE COMPETENCIES• Data architecture, engineering, and governance• AI / Machine Learning, advanced analytics and innovation labs• Cloud computing - AWS, Azure and GCP• Data warehouse to Data Lake and Data Mesh• Data strategy aligned to Business strategy• Team building, mentoring• Emerging technology evaluation and selection• Master Data Management - Reltio and Informatica

Experience

1. Director Global Data & Analytics Architecture

   Newmark

   Jan 2023 — Present

   Newmark is a large global enterprise and is number two in Commercial Real Estate Services industry in the US. The role is focused on creating and executing data & AI strategy to build a robust data foundation and successfully unlock business value hidden in large amounts of structured and unstructured data. Working with Business, Product and Senior leadership teams, crafted data and AI strategy that includes building a strong data foundation and layering high value AI solutions on top of it Built a strong data foundation architecture including Lakehouse using Databricks on Azure that provides governed, trustworthy data products to business users across the enterprise. This includes near real time data pipelines, data quality management and data governance for trusted timely data that is understandable and consumable. Architected Gen AI based solutions that include internal knowledgebase with chat interface using multimodal RAG (Retrieval Augmented Generation) on Azure Open AI LLMs, Data extraction from unstructured documents and web scraping, Multi-modal search and Co-pilot Evaluated, selected, architected and implemented Reltio Master Data Management solution for Property, Company and Contact data. This created a single source of trustworthy and accurate master data that can be used to stitch together fragmented and siloed data across Newmark operational systems to enable cross-sell, up-sell and other high value use cases

Education

• Indian Institute of Management Mumbai

  Masters, Industrial Engineering

• University of Mumbai

  Bachelore of Engineering, Production

• Scrum Alliance

  Certified Scrum Master

Skills

• Business Objects
• Pmp
• Leadership
• Business Process
• Data Warehousing
• Jdbc
• Business Analysis
• Business Intelligence
• Strategy
• Sybase
• Sql
• Business Intelligence Tools
• Hibernate
• Data Modeling
• Architecture
• Oracle
• Requirements Analysis
• Software Project Management
• Sap Businessobjects
• Dimensional Modeling
• Consulting
• Team Leadership
• Integration
• Sap Bi
• Sdlc
• Analytics
• Vendor Management
• Jsp
• Agile Methodologies
• Management
• Cross-Functional Team Leadership
• Extract, Transform, Load (Etl)
• Eclipse
• Informatica
• Web Intelligence
• Hadoop, Aws, Data Lake, Greenplum, Talend, Spark, R, Python, Anaconda, H2o, Tensorflow Sap Businessobjects, Bw, Data Services, Informatica, Tableau, Domo, Qlikview, Oracle, Sql, Modeling, Sap, Salesforce
• IT Strategy
• Java Enterprise Edition
• Etl
• Enterprise Architecture