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Gagandeep Jaswal

Enterprise Data & AI Enthusiast (Big4 KPMG) | Data Strategy, Governance & Monetization | Enabling AI-Driven Business Outcomes | CDO Track

Chandigarh

8+ years of work experience

KPMG India
Oct 202511 mosPresent

Gurugram, Haryana, India

Summary: Leading enterprise-scale data governance and AI readiness transformation for global clients, enabling data monetization, regulatory compliance, and business-driven decision intelligence. Key Contributions: Led enterprise data strategy & governance transformation for large-scale clients, aligning data capabilities with business objectives and regulatory requirements (GDPR, DPDP) Architected data governance operating models (DCAM-aligned) to improve data quality, lineage, and trust—enabling AI-ready data ecosystems Delivered data monetization and analytics enablement initiatives, helping clients unlock value from enterprise data assets Partnered with CXO and senior leadership stakeholders to define data strategy roadmaps and enterprise data policies Led implementation of collaborative data platforms (Collibra, Informatica, Alation), enabling metadata-driven decision-making at scale Drove cross-functional transformation programs, bridging business, IT, and data teams to embed data-driven culture
TVS Motor Company
Nov 20223 yrsOct 2025

Bengaluru, Karnataka, India

Summary: Led enterprise-wide data governance transformation for one of India’s largest manufacturing organizations, enabling data quality, regulatory compliance, and foundational readiness for analytics and AI-driven decision making. Key Contributions: Established and scaled enterprise data governance framework across multiple business units, improving trust, consistency, and usability of critical data assets Directed data quality transformation initiatives across manufacturing, supply chain, and business systems, improving accuracy and operational decision-making Collaborated with business and IT teams to define data stewardship models, ownership frameworks, and governance processes, ensuring enterprise-wide accountability Implemented metadata management, lineage tracking, and data cataloging capabilities, enhancing transparency and traceability of enterprise data Enabled data-driven transformation initiatives by preparing high-quality, governed datasets for analytics, reporting, and emerging AI use cases Reduced operational risks by aligning data practices with compliance and governance standards, improving audit readiness and regulatory adherence
CRISIL Limited
Aug 20211 yr 4 mosNov 2022

Summary: Delivered data quality engineering and analytics enablement for global financial services clients, supporting risk management and high-stakes business decision-making. Key Contributions: Delivered data quality and validation solutions for large-scale banking clients, improving reliability of financial and risk reporting Partnered with global stakeholders to ensure accuracy, consistency, and governance of critical financial datasets used for decision-making Supported risk analytics and reporting processes, ensuring compliance with enterprise data standards in financial services Built and executed data quality rules, validation pipelines, and issue remediation frameworks, improving data integrity across systems Gained exposure to high-value financial data ecosystems, strengthening understanding of regulatory and compliance-driven data environments
Infosys
Oct 202011 mosAug 2021

Chandigarh, India

Summary: Built foundational data engineering and quality capabilities powering enterprise data platforms, developing expertise in large-scale data systems and integration pipelines. Key Contributions: Designed and implemented data quality solutions using Informatica, ensuring accuracy and reliability of enterprise datasets Delivered data integration and migration initiatives, supporting modernization of legacy data platforms Developed ETL pipelines and data processing workflows, enabling seamless data flow across enterprise systems Supported data platform upgrades and migrations, improving system performance and scalability Collaborated with cross-functional teams to ensure data consistency and alignment with business requirements
Infosys
Apr 20191 yr 6 mosSep 2020

Chandigarh, India

Worked as Informatica Data Quality Developer for 10.2.0 version.
Infosys
Aug 20188 mosMar 2019

Chandigarh, India

Worked as an Informatica Developer and Admin for Powercenter and did migration from 9.6 to 10.2 version.

Gagandeep’s AI Stack

antigravity
antigravity
codex
codex

Education

Punjabi University

Master of Technology (M.Tech.), Electronics and Communications Engineering

Punjabi University

20142 yrs2016
Punjab technical university

Bachelor of Technology, Electronics and Communication Engineering

Punjab technical university

20103 yrs2013

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Headline

Enterprise Data & AI Enthusiast (Big4 KPMG) | Data Strategy, Governance & Monetization | Enabling AI-Driven Business Outcomes | CDO Track

About

Highly accomplished M.Tech (Distinction) Enterprise Data Enthusiast with nearly 10 years of cross-industry success spanning Big 4 Management Consulting (KPMG), Corporate Manufacturing (TVS Motors), and Financial Analytics (CRISIL). A globally recognized Subject Matter Expert in designing resilient, cloud-native data ecosystems using competing enterprise platforms, including Collibra (Solution Architect), Alation (Data Steward & Governance Advocate), and Informatica (CDGC Developer & MDM SaaS). Deeply skilled in translating complex regulatory requirements—such as India's DPDP Act, GDPR, and emerging global AI compliance laws—into actionable corporate frameworks using EDM Council methodologies (DCAM V2 & CIMP). A forward-thinking strategist who bridges the gap between raw data infrastructure and executive suite decision-making; proven track record of architecting governance pipelines that eliminate operational data silos, mitigate compliance risks, protect corporate EBITDA, and ensure data readiness for enterprise Generative AI deployments (Informatica AI Claire).

Location

Chandigarh

AI stack

antigravity

codex

Work experience

Manager at KPMG India, Oct 2025 - Present · 11 mos, Gurugram, Haryana, India, Summary: Leading enterprise-scale data governance and AI readiness transformation for global clients, enabling data monetization, regulatory compliance, and business-driven decision intelligence. Key Contributions: Led enterprise data strategy & governance transformation for large-scale clients, aligning data capabilities with business objectives and regulatory requirements (GDPR, DPDP) Architected data governance operating models (DCAM-aligned) to improve data quality, lineage, and trust—enabling AI-ready data ecosystems Delivered data monetization and analytics enablement initiatives, helping clients unlock value from enterprise data assets Partnered with CXO and senior leadership stakeholders to define data strategy roadmaps and enterprise data policies Led implementation of collaborative data platforms (Collibra, Informatica, Alation), enabling metadata-driven decision-making at scale Drove cross-functional transformation programs, bridging business, IT, and data teams to embed data-driven culture

Data Governance Manager at TVS Motor Company, Nov 2022 - Oct 2025 · 3 yrs, Bengaluru, Karnataka, India, Summary: Led enterprise-wide data governance transformation for one of India’s largest manufacturing organizations, enabling data quality, regulatory compliance, and foundational readiness for analytics and AI-driven decision making. Key Contributions: Established and scaled enterprise data governance framework across multiple business units, improving trust, consistency, and usability of critical data assets Directed data quality transformation initiatives across manufacturing, supply chain, and business systems, improving accuracy and operational decision-making Collaborated with business and IT teams to define data stewardship models, ownership frameworks, and governance processes, ensuring enterprise-wide accountability Implemented metadata management, lineage tracking, and data cataloging capabilities, enhancing transparency and traceability of enterprise data Enabled data-driven transformation initiatives by preparing high-quality, governed datasets for analytics, reporting, and emerging AI use cases Reduced operational risks by aligning data practices with compliance and governance standards, improving audit readiness and regulatory adherence

Senior Analyst at CRISIL Limited, Aug 2021 - Nov 2022 · 1 yr 4 mos, Summary: Delivered data quality engineering and analytics enablement for global financial services clients, supporting risk management and high-stakes business decision-making. Key Contributions: Delivered data quality and validation solutions for large-scale banking clients, improving reliability of financial and risk reporting Partnered with global stakeholders to ensure accuracy, consistency, and governance of critical financial datasets used for decision-making Supported risk analytics and reporting processes, ensuring compliance with enterprise data standards in financial services Built and executed data quality rules, validation pipelines, and issue remediation frameworks, improving data integrity across systems Gained exposure to high-value financial data ecosystems, strengthening understanding of regulatory and compliance-driven data environments

Technology Analyst at Infosys, Oct 2020 - Aug 2021 · 11 mos, Chandigarh, India, Summary: Built foundational data engineering and quality capabilities powering enterprise data platforms, developing expertise in large-scale data systems and integration pipelines. Key Contributions: Designed and implemented data quality solutions using Informatica, ensuring accuracy and reliability of enterprise datasets Delivered data integration and migration initiatives, supporting modernization of legacy data platforms Developed ETL pipelines and data processing workflows, enabling seamless data flow across enterprise systems Supported data platform upgrades and migrations, improving system performance and scalability Collaborated with cross-functional teams to ensure data consistency and alignment with business requirements

Senior System Engineer at Infosys, Apr 2019 - Sep 2020 · 1 yr 6 mos, Chandigarh, India, Worked as Informatica Data Quality Developer for 10.2.0 version.

System Engineer at Infosys, Aug 2018 - Mar 2019 · 8 mos, Chandigarh, India, Worked as an Informatica Developer and Admin for Powercenter and did migration from 9.6 to 10.2 version.

Education

Master of Technology (M.Tech.), Electronics and Communications Engineering, Punjabi University

Bachelor of Technology, Electronics and Communication Engineering, Punjab technical university

Gagandeep Jaswal - Manager in Chandigarh | Tal