Arvind Joshi

About Arvind Joshi

A senior data executive with 30+ years of leadership experience across Fortune 500 organizations, integrating deep knowledge of technology, business operations, and regulatory expectations. Known for building enterprise-wide data foundations, reducing regulatory risk, and enabling analytics-driven value creation across complex organizations.CORE VALUE PROPOSITIONData-as-an-Asset ChampionArchitect and operationalize data principles, policies, controls, and governance frameworks informed by multi-industry experience and real-world lessons from enterprise data transformation.Strategic Data Leader and SMEDesign and lead end-to-end data management programs covering governance, quality, analytics, metadata, sourcing, and lineage, ensuring alignment with regulatory, compliance, and risk expectations.Enterprise Data Strategy & Operating Model BuilderDrive multi-LoB data strategies that harmonize people, processes, and platforms. Enable actionable insights and high-quality data products that deliver measurable business outcomes and value creation.Trusted Partner to Compliance, Legal, and Risk ExecutivesServe as the senior data counterpart to Chief Compliance Officers and Chief Legal Officers—translating regulatory requirements (GDPR, CCPA, state/federal mandates) into enterprise data controls, cloud governance, privacy policies, and defensible data-handling standards.REGULATORY IMPACT & ACHIEVEMENTSUS Regulatory Reporting Enhancements• Validated and corrected 5,400+ customer records across 7 source systems, covering 3,378+ external and 2,022+ internal counterparties.• Remediated 4,800+ reference data records across 480+ customers (accounting codes, customer types, residence/risk countries).• Corrected direct risk exposure for 290 customers, improving reporting accuracy by $29B+.• Corrected indirect risk for 670 customers, improving positions by $33B+.• Updated customer types for 65+ customers, improving exposure accuracy by $7B+.Basel, BCBS 239 & CCAR Reporting Improvements• Standardized industry classification and entity taxonomy—eliminating ~100 hours/quarter of manual effort.• Closed 6 FFIEC 101 issues with a $3.3B Exposure at Default impact; remediated 9 Y-9C issues with a $2.2B improvement to the Country Exposure Report (009).• Improved Risk-Weighted Assets (RWA) reporting accuracy by ~$330MM.ContactArvind J••••••••@hotmail.com84••••••21

Experience

1. Head of Data Governance and Analytics

   Rockefeller Capital Management

   Sep 2022 — Present · New York, NY, US

   Spearheaded the establishment of enterprise-wide data governance frameworks and data literacy programs, fostering a data-driven culture and directly aligning the firm\'s data strategy with critical business objectives.• Developed and initiated AI Governance strategies, establishing foundational policies and ethical frameworks for responsible AI adoption and Copilot implementation, mitigating emerging data risks.• Enhanced business insights and decision-making by implementing robust data governance practices, ensuring data accuracy, completeness, and reliability for critical reporting and analytics.• Led the strategic transformation from a data-defensive to a proactive data offensive strategy, emphasizing actionable insights and value realization from data assets.

Education

• Jnana Prabodhini Prashala

  High school diploma, High School/Secondary Diplomas and Certificates

  1976 — 1981

• The Maharaja Sayajirao University of Baroda

  Master's degree, Computer Applications

  1988 — 1991

• Savitribai Phule Pune University

  Post Graduate Diploma, Computer Management

  1986 — 1987

• Karnatak University

  B.E., Civil Engineering

  1981 — 1985

Skills

• Business Analysis
• IT Strategy
• Db2
• Data Migration
• Business Objects
• Sdlc
• Data Stewardship
• Solution Architecture
• Quality Assurance
• Soa
• Management
• Governance
• Business Process Improvement
• Data Warehouse Architecture
• Master Data Management
• IT Management
• Database Design
• Data Integration
• Data Governance
• Pmo
• Vendor Management
• Pmp
• Reference Data
• Informatica
• Etl
• Data Quality
• Enterprise Architecture
• Information Stewardship
• Performance Tuning
• Data Modeling
• Data Warehousing
• Business Requirements
• Data Analysis
• Integration
• Project Portfolio Management
• Requirements Gathering
• Software Project Management
• Business and Data Analytics
• Crm
• Data Architecture