Mamta Chawla

About Mamta Chawla

AboutTransforming businesses responsibly through AI, data, and sustainable enterprise architecture.I believe innovation should be secure, scalable, and sustainable. My mission is to help organizations modernize responsibly aligning business strategy, ESG compliance, and AI-driven insights with robust enterprise architecture frameworks to deliver measurable impact.With deep expertise across Life Sciences, Healthcare, Finance, Sustainability and Energy, I specialize in: Enterprise Architecture Leadership – Designing AI-first, cloud-native, and API-driven architectures that enable agility, scalability, and compliance Carbon Data Management & ESG Reporting (CSRD/EURD) to achieve sustainability goals Cloud Economics & ROI-driven Digital Transformation with secure SaaS architectures and governance practices Data Governance & Compliance (HIPAA, GDPR, CCPA, PCI) with advanced security frameworks Data Quality & Master Data Management—from raw data to certified platinum data Big Data & Advanced Analytics—Data Lakehouse for AI/ML and data science use cases Led strategic cross-domain development of AI and GenAI agents for automating unstructured data extraction and ESG/operational workflows. Built an Unstructured Data Processing AI Agent capable of interpreting complex documents (utility bills, invoices, claims, reports) and converting them into structured datasets. Designed a CodeGen AI Agent that generates production‑ready code, pipelines, and automation scripts to accelerate engineering delivery. Developed a Data Modeller AI Agent that automatically creates data models, source‑to‑target mappings, metadata, and lineage for SDH and enterprise systems. Architected an AI Agent for Cloud Carbon Footprint Measurement, delivering real‑time carbon insights across Azure, AWS, and GCP workloads. Implemented multi‑agent orchestration incorporating governance, safety, and self‑correction loops for enterprise‑grade reliability.I’ve successfully led multi-country rollouts, managed high-value RFPs ($3M–$20M), and partnered with leading technology vendors to accelerate digital-first adoption. My experience spans enterprise architecture strategy, project management, and agile delivery, ensuring seamless execution of complex transformation programs.Passionate about Responsible AI and Sustainability, I work with clients to reduce carbon footprints, enable data-driven decisions, and create future-ready digital ecosystems. Let’s connect if you’re exploring sustainable AI, enterprise architecture, or digital transformation strategies.

Experience

1. Director Data & Analytics Data Architecture Data Governance Life Science Ai Ml Aws Azure

   Capgemini

   Oct 2023 — Present · IN

   Led Data & Analytics Practices to define Data strategy and Data Maturity Roadmap for customers\' decarbonization and achieving ESG or sustainability goals.• Implemented AI/ML driven insights for life sciences innovation, including Segmentation, Rep Recommendations, and CNN for behavior analysis.• Enabling workspace productivity by Enabling GenAI• Defined and set implementation projects for Data Quality Maturity Models and AI/ML based MDM solutions for Customer 360’ and Patient 360’.

Education

• Motilal Nehru National Institute Of Technology

  M.Tech, Computer Software Engineering

• Motilal Nehru National Institute Of Technology

  M.Tech, Computer Science

  2003 — 2005

Skills

• Xml
• Ibm Integration Bus
• Project Management
• Web Services
• Sdlc
• Solution Architecture
• Esb
• Design Patterns
• Soa
• C#
• .net
• Hadoop Cloudera (Impala, Hbase, Sqoop, Hdfs)
• Ssis
• Microsoft Sql Server
• Biztalk
• Saas
• Software Development
• Message Broker
• Windows Azure
• Agile Methodologies
• Eai
• K2 Blackpearl 4.5
• Integration
• Requirements Analysis