Headline

Data Governance, Analytics, AI/ML | Enabling Enterprises To Build Smarter Data Products, AI-Powered Automation, Observability & Enterprise-Scale Cost Optimization

About

I help organizations build trusted, business-ready data systems that improve decision-making, operational efficiency, and revenue outcomes. With 14 years of experience across banking, analytics, and enterprise data management, I specialize in Data Governance, Data Quality, Collibra implementation, CRM modernization, and large-scale transformation programs. My work has focused on solving complex data challenges across highly regulated environments, with strong alignment to BCBS 239 governance standards and enterprise risk controls. At Wells Fargo, I lead data quality and governance initiatives across large-scale enterprise systems—driving migration of 10M+ records across Teradata and multiple CRM platforms, consolidating 9 CRM systems into a unified architecture, and implementing 250+ data quality rules across Completeness, Validity, and Consistency dimensions. I work closely with business stewards, technology teams, and leadership to ensure trusted data flows, governance adoption, and audit readiness through Collibra, metadata stewardship, lineage management, and exception workflows. My experience extends beyond governance into workflow automation, reporting optimization, and business intelligence—building scalable monitoring frameworks, improving ETL observability, and delivering ML-based anomaly detection solutions that improved data quality by 30%+ while reducing manual effort by 40%. I am now strategically expanding into GTM Engineering and Revenue Operations, where data quality, CRM intelligence, workflow automation, and revenue systems directly drive business growth. I see GTM Engineering as a natural extension of my work—moving from ensuring trusted data to enabling trusted revenue decisions. I am particularly interested in opportunities across GTM Engineering, Revenue Operations (RevOps), Data Governance, Revenue Systems, Business Intelligence, and Enterprise Data Strategy. Core Strengths: • Data Governance & Data Management • Data Quality Frameworks & DQ Rule Design • Collibra Implementation & Metadata Management • Revenue Operations Thinking • CRM Modernization & Revenue Systems • SQL, Python, Tableau, Power BI • Workflow Automation & ETL Monitoring • Executive Stakeholder Management • Business Intelligence & Reporting Optimization • Cross-functional Leadership

Location

Bengaluru

AI stack

antigravity

claude code

github copilot

hugging face

langchain

langgraph

Work experience

Director – Middle Office Data Engineering & Quality at Morgan Stanley, Aug 2026 - Present · 3 mos, Bengaluru, DQ & Exception Management: Designing automated data quality validations, operational controls, and exception-management pipelines using Alteryx and enterprise/internal DQ tools. ​Data Governance & Observability: Implementing governance standards and metadata management using Collibra, paired with end-to-end data lineage and proactive monitoring. ​Analytics & Visualization: Delivering executive KPI/MI reporting, trend analysis, and interactive dashboards via Power BI. ​AI/ML & Advanced Analytics: Integrating machine learning for automated anomaly detection, predictive monitoring, and intelligent exception prioritization.

Senior Assistant Vice President at Wells Fargo, Mar 2023 - Jul 2026 · 3 yrs 5 mos, • Led enterprise data migration and consolidation across multiple systems into a unified platform, enabling a single source of truth, improved data visibility, and better business decision-making • Designed and implemented data governance and data quality frameworks, including validation rules, reconciliation checks, and metadata standardization, ensuring data accuracy, traceability, and audit readiness • Built end-to-end data quality lifecycle and monitoring solutions using ETL validation, SQL, and dashboards, enabling proactive issue detection and faster root cause resolution • Led reporting transformation and dashboard migration by modernizing BI platforms and redesigning executive dashboards, improving performance, scalability, and cost efficiency • Drove automation and observability initiatives by developing ML-based anomaly detection, ETL monitoring, and self-healing mechanisms, reducing manual effort and improving pipeline reliability • Led cross-functional collaboration and team delivery, partnering with business, risk, and technology stakeholders to embed governance practices, improve reporting reliability, and align with regulatory expectations

Data Specialist at ISG (Information Services Group), Jan 2020 - Mar 2023 · 3 yrs 3 mos, Bangalore, Built predictive models and recommendation engines supporting enterprise outsourcing decisions, contributing to ~95% data-backed advisory support. Processed millions of records across internal and external datasets for consulting insights. Developed classification, clustering, and NLP-based models for provider selection and deal success prediction. Created Power BI dashboards and scorecards for performance benchmarking and market analysis. Delivered insights for both internal stakeholders and external clients.

Assistant Manager at Cushman & Wakefield, Dec 2018 - Jan 2020 · 1 yr 2 mos, Bengaluru Area, India

Senior Analyst at JLL, Feb 2015 - Dec 2018 · 3 yrs 11 mos, Processed and analyzed ~1M records, supporting pricing and trend analytics. Built Tableau and R dashboards for business insights. Automated manual data sourcing processes, improving operational efficiency.

Education

PGDDA, Data Analytics, International Institute of Information Technology Bangalore

Master of Business Administration (MBA), Marketing, Indian Institute of Planning and Management

Public links

github: https://github.com/Kartheek274