Chandrasekar Karthik C.

About Chandrasekar Karthik C.

Principal Data Governance Leader specializing in building trusted, regulatory-grade data ecosystems for financial institutions through traditional frameworks and modern AI-driven automation.I bring 10+ years of experience across fintech and consulting, designing enterprise data governance frameworks, data quality programs, and scalable data platforms that transform fragmented data landscapes into trusted, decision-ready assets. My work sits at the intersection of data governance, architecture, and regulatory compliance, enabling organizations to operationalize governance while accelerating analytics adoption.The Future of Governance: AI & AutomationCurrently, I am pioneering the shift toward Autonomous Data Governance. I am actively building Proof of Concepts (PoCs) using Agentic AI to automate manual governance workflows, including:* AI-Driven Observability: Automating root cause analysis by leveraging AI to interpret complex metadata and data lineage.* Intelligent Documentation: Streamlining metadata tagging and cataloging using Large Language Models (LLMs).* Automated Quality Checks: Reducing manual overhead by deploying AI agents to identify and remediate data anomalies in real-time.Core Areas of Expertise * Frameworks: Enterprise Data Governance operating models & DQ rule frameworks.* Lineage & Metadata: End-to-end data lineage and automated catalog enablement.* Compliance: Data privacy and regulatory frameworks for highly regulated industries.* Technology Integration: Scaling governance across modern cloud platforms (Snowflake, Databricks).Professional ImpactMost recently at Ally Financial, I lead governance initiatives within the Auto Finance domain, developing scalable roadmaps that empower cross-functional teams with trusted, self-service data assets. Previously, as a consultant with Deloitte and ZS Associates, I delivered enterprise data strategies and platform initiatives for global technology and healthcare clients.I have implemented governance capabilities using platforms such as Collibra, Alation, and Manta, and I am passionate about the intersection of responsible data democratization and the next generation of AI-enabled data management.Specialties:Enterprise Data Governance | AI-Driven Data Observability | Agentic AI for Governance | Data Quality & Metadata Management | Data Lineage | Data Privacy | FinTech Data Platforms | Regulatory Compliance | Collibra | Alation | Manta | Snowflake | Python for Data Automation

Experience

1. Sr Analyst - Data Management

   Ally

   Mar 2022 — Present · Lewisville, TX, US

Education

• Anna University Chennai

  Bachelor of Engineering (B.Eng.), Electronics and Instrumentation Engineering

  2008 — 2012

• Naveen Jindal School of Management, UT Dallas

  Master of Science (MS), Information Technology and Management

  2015 — 2016

Skills

• Business Intelligence
• Analysis
• Business Requirements
• Data Warehousing
• Data Management
• Project Management
• Operations Management
• Enterprise Risk Management
• Requirements Analysis
• Sql
• Mysql
• Pl/Sql
• Oracle
• Java
• Jsf
• Business Analysis
• Sas E-Miner
• Citrix
• Microsoft Office
• C
• C++
• Html
• Microsoft Excel
• Javascript
• Powerpoint
• Core Java
• Management
• Databases
• Sdlc
• Css
• Microsoft Sql Server
• Microsoft Word
• Ms Excel Pivot Tables
• Visual Basic for Applications (Vba)
• Visio