Summary
Overview
Work History
Skills
Timeline
Generic
Raj Madugula

Raj Madugula

NJ

Summary

  • Background
  • As a visionary technology leader with over two decades of experience, I've had the privilege of guiding global technology and data strategies at some of the world's most prestigious financial institutions, including Wells Fargo, BOFA, JPMorgan Chase, UBS, Goldman Sachs and Deutsch Bank. My passion lies in harnessing the power of innovation, from AI/ML to cloud architecture, to not only solve complex challenges but also to inspire teams and drive transformative growth across the enterprise.
  • Specialties: Enterprise Technology, Data and Platform, Cloud, Conversational and Gen AI Adoption, Consumer & Cards Data and Products, Marketing & Paid Media Analytics, Digital Consumer Offers and Products, Core Banking Modernization, Operational Risk/RCSA, Regulatory Commitments, Automation, Agile Transformation, IT operations & Support
  • Professional Summary
  • Technology Management & Leadership: Successfully led a large technology organization with specialized teams in Technology, Data & Application Engineering, Enterprise Architecture, Risk and Audit, Product Management, Quality Engineering, BI & AI Tools, Infrastructure, and IT operations, while actively spearheading positive changes.
  • Gen AI & Business Transformation: A leader in the strategic implementation of Generative AI and conversational technologies to drive business transformation. Proven ability to guide the development and deployment of innovative AI capabilities in consumer and marketing technology. Expertise includes managing all aspects of the Gen AI lifecycle, from foundational pilots to enterprise-wide rollouts, while ensuring strict adherence to data privacy, security, and legal compliance.
  • Successfully spearheaded the implementation of over 10 Gen AI use cases, including tools to enhance developer productivity, streamline agile processes, and provide virtual assistance for critical business functions. This resulted in a substantial positive change across the organization.
  • Product Management Leadership: Defined and successfully established a product operating model for Technology, Data, and Business organizations with clear boundaries. The product operating model is a key foundational pillar of the organization's transformational journey.
  • Business Enablement: Proven track record in modernizing technology for businesses and developing strategies for functional areas such as Marketing, Consumer and Small Business Banking, Cards, Home Lending, CIB, Risk, Core Banking, Customer Engagement & Digital Integrations.
  • Cloud Transformation: Successfully defined and executed on Cloud migration roadmap and delivery and execution of Public and hybrid cloud migrations and driving a 50% reduction in cost
  • Regulatory Commitments: Successfully delivered large-scale technology initiatives for global financial institutions, helping them achieve business enablement and regulatory compliance, leading to the prompt closure of MRAs and Consent Orders. I have also participated in Toll-gate reviews with regulators in a CIO capacity.
  • Budget Management: Oversee multi-year financial management of the Technology & Data budget, operating within a designated budget, and driving cost-saving efforts in a globally dispersed setup.
  • Procurement and Vendor Management: Assess vendor and partner relationships to ensure a smooth integration of third-party vendors and solutions. Achieved vendor rationalization with a 20-35% year-over-year savings.
  • Industry Speaker: Expert in Technology speaking at internal firmwide town halls and external industry events such as Google Next and Gartner Data & Analytics Summit. Topics include Technology Trends, emerging technologies, and their impact on various industries.

Overview

24
24
years of professional experience
5
5
Language

Work History

Head Of Consumer Data Technology

Wells Fargo & Company
New York, NY
03.2021 - Current
  • Role Overview: As a key leader and stakeholder in the bank's consumer technology organization, I am responsible for defining the technology & data strategy for adoption by Consumer, Marketing, Cards, and Branch technology groups. Oversee architecture and external service providers, ensuring delivery and alignment with strategic OKRs from the Operating Committee. Plan and administer 150MM + yearly Budget
  • Defined and implemented a comprehensive strategy for technology, data, and AI aligned with the LOB CEO's business objectives. The strategy considers the end-to-end growth, rationalization, modernization, risk remediation, and revenue generation.
  • Consumer Data AI & Analytics: Data Science functions across Consumer Technology for driving insights, measuring and optimizing the value of our channels, attribution monitoring, and User experience enhancement.
  • Consumer Products Engineering: Design, develop, and deploy unified data platforms for Data Products, Gen AI, and analytics capabilities to launch revenue-generating Consumer Products. Our goal is to create Consumer products that are optimized for Consumers, Cards, Lending, Marketing, Banker & Branch with Data Tools, Virtual Assistant Chabot, conversational AI and gen AI, analytics, and data products. Unified Data Capabilities include Self-healing Data pipelines, Data products with catalogue, Data quality and observability, and operational & analytical data utilities
  • Design Authority: The Principal and Distinguished Engineers team, partnered with the Chief Architecture Group, oversee technology architecture alignment with enterprise standards, supervising quality and implementation of designs, and incorporating cloud and AIOps techniques into customer value delivering solutions. They also provide insights to business analysts and research teams.
  • Consumer Data Management and Governance: Data Management Tools and Engineering functions responsible for ensuring consistent data sourcing, data quality, lineage and privacy, in alignment with regulatory, compliance and legal requirements
  • Technology Product Strategy Office: The Transformation Office is the ideal partner for businesses to achieve success confidently. With unparalleled coordination and prioritization, we provide invaluable insights into investments and ROI and offer expertise in Cloud and Responsible AI implementations.
  • Accomplishments & Delivery - WF Consumer Technology - Data & AI Strategy | WF CDP & DMP Integration | Conversational Gen AI Pilot for Branch Operations and Call Center | Automation and AI Ops | Digital Integration | Multi-year Cloud Roadmap | Customer Engagement Engine | Consumer Data Marketplace | Customer Journey Analytics | Marketing Paid Media Analytics | Best Use Of Tech in Lending Award( Flex Loans)

Head Of Enterprise Data Engineering and Platforms

WELLS FARGO
New York, NY
01.2018 - 02.2021

Role Overview: A key leader and stakeholder in the bank’s technology services organization, responsible for defining the technology strategy for adoption for various Domains, architecture groups, and external service providers. Transform operations to align with strategic OKRs from an enterprise and regulatory commitments. Plan and administer a $100M annual budget.

  • Lead and manage the Technology Organization of Application, Data & Software Engineering, Product Development, Data stores and modern tools, Business Intelligence, Infrastructure, and IT Operations teams.
  • Define and execute a comprehensive Enterprise Technology and Data strategy for ensuring alignment with Wells Fargo's LOB Domains and Sub-domains while considering the end-to-end regulatory and business commitments.
  • Defined multi-year roadmaps and single and multi-tenant execution strategies for Technology across LOB aligning with key C-suite stakeholders with the following functions:
  • Enterprise Data Platform: Develop and Deployed Unified Data Platform as part of regulatory commitments for the enterprise to consistently host Data organized into Domains to support LOBS - Cards, Commerical, CIB, Small Business, Consumer, HR, IT Risk
  • Technology Strategy and Transformation Office: The Transformation Office ensuring insights into investments, ROI's, prioritization and coordination across all technology and data product functions and remediation of MRA's and Consent Orders
  • Design Authority : The team of Principal and Distinguished Engineers, in partnership with the Chief Architecture Group, provide design oversight and authority to ensure that our technology architecture aligns with enterprise standards, processes, procedures, and targets. They are responsible for making technology choices, supervising the quality and implementation of designs, and developing high-performance, enterprise-scale applications, data frameworks, and platform services within the organization.
  • Quality Engineering : Deployed Test Data and Data Pipeline testing tools to offer self-service capabilities to enable Data Teams to have Production Data in Lower Lanes, Synthetic Data Capabilities to minimize quality escapes in production. Launched Test Data Prime as a central place to cater all Test Data needs as a self-service and subscription model
  • Automated Data Management Framework: Automated integrated workflow for Data Catalog, Technical and Business Metadata, Data Quality and Data Movement Controls
  • Analytics Workbench :Workbench capabilities for analysts, product users to perform various BI, Data discovery, Profiling activities with governed access management
  • Enterprise Data Management and Governance : Data Management Tools and Engineering function responsible for ensuring consistent data sourcing, data quality, lineage, data use and privacy , in alignment with regulatory and legal requirements
  • Accomplishments & Delivery - Enterprise Data Lake | Regulatory Commitments | AI/ML Technology and Tools | Analytics & Tools | Data and Platform Engineering | TDM | Data Testing |Agile Transformation | Board Level Milestones | GCP Cloud Pilot

Risk Technology and Analytics Lead

Bank of America
New York, NY
04.2017 - 01.2018
  • Risk Technology Executive to lead the Global Risk Analytics Team responsible for building forward-thinking quantitative tools to manage risk across Bank of America. Define and execute strategies to rationalize tools for analytics and roadmap for cloud.
  • Accomplishments & Delivery - CECL Performance Optimization | Modern Technology Tools Transformation | Cloud Business Case | Quant Community Enablement | Data and Platform Engineering

Technology and Analytics Lead

FIRST DATA CORPORATION
New York, NY
08.2015 - 01.2017
  • Data Technology Executive responsible to define and deliver overall architecture and Data solutions. Established Data COE designed to provide a single point of access to enterprise data while also creating data quality processes and cleaning processes. Managed Enterprise Information Architecture, process flows, and delivery plans for data-driven solutions to streamline various legacy processes.
  • Accomplishments & Delivery - Data and Platforms Strategy | Customer 360| SFDC launch | Deals & Opportunity Engineering

Build Manager Corporate Technology

JP Morgan
New York, NY
03.2012 - 08.2015

As the primary Build Manager in the Corporate Technology Group, implemented and delivered Control Room – a C-Level dashboarding/reporting and risk assessment as part of a firm-wide mission for the Oversight and Controls Group. Shaped multi-year roadmap to enhance and develop information, reporting, and analytics capabilities. Planned and administered $50M annual budget.

  • Build Manager responsible for end to end Technology Management for Firmwide reporting and analytics platform and capabilities to meet the regulatory requirements. Successfully implemented and delivered Control Room – a Jaime Dimon initiative in response to London Whale event. Shaped multi-year roadmap to enhance and develop information, reporting, and analytics capabilities.
  • Accomplishments & Delivery - RFP for next gen Operational Risk Platform | RCSA, IT Risk, TPR | Enterprise Regulatory Reporting & Analytics Strategy | Semantic Layers for LOB’s | Data Science Lab | Board Level Deliverables | Team of 214 | MRA’s & Consent Orders | Data Engineering | OCC Exams | BCBS239 | Budget 50MM | Promoted to ED in less than 3 years

Build Lead Operations Risk Technology

JP Morgan Chase
New York, NY
03.2011 - 03.2012

Deployed Phoenix Operational Risk Management, an end-to-end integrated operational and IT risk management system used for management and measurement of operational risks. Improved ability to assess risks and controls within individual organizations, while designing action plans to address problem areas that “right size” necessary capital to address operational risk based on current and historical trend analysis.

¨ Managed and led a global team of Developers, Architects and QA, with responsibility for defining project success criteria throughout project life cycle while managing project expectations with senior management and stakeholders

¨ Designed and built a re-usable generic data layer to replace the heavy EJBs, including coding and project timelines and milestones using appropriate tools.

¨ Created and coded a re-usable health dashboard to provide insights into product production operations, later scaled for use across Risk Technology with simple configuration changes.

¨ Proactively managed changes in project scope, identify potential crises, and devise contingency plans.

Accomplishments & Delivery - Stabilize Operational Risk Platform | RCSA, IT Risk, TPR | Launch Inherent Residual Risk | Smart Data Pipelines | Data Quality Framework | Board Level Deliverables | Team of 144 | Internal Portal Application | Data Engineering | OCC Exams

Enterprise Architecture and Technical Lead

UBS Financial Services
New York, NY
08.2005 - 03.2011
  • Accomplishments & Delivery - Real Time Transaction Framework | Settlement Processing | Trade Aggregation, Matching | Roll-out of Framework across NA and APAC | 250M transactions/day | High Availability In-Memory Processing Engine

Sr Consultant Engineer

Deutsche Bank, Citibank, Goldman Sachs & Co
New York, NY
03.2000 - 08.2005

Accomplishments & Delivery – Credit Cards Applications | Hedge Fund Management Platform | Trade Settlement Engines | Trade Matching Services| Gateway Framework

Skills

Education

Master of Science, Computer Science And Programming, 04/1998
Sri Venkateswara University

Technical Competencies

  • Cloud Big Data & Analytics
  • Conversational and Generative AI
  • IT Automation, ETL, and Data Science Tools
  • Data Mesh, Data Wrangling, and BI Tools
  • Programming/Databases
  • QA, Automation

Leadership Competencies

  • Strategic: acts as a thought leader, able to think big picture and set direction accordingly
  • Purpose Driven: can create a shared sense of direction, alignment, and commitment, which can lead to greater performance, persistence, and belonging
  • Innovative: proven skill at problem-solving and thinking outside of the box
  • Execution Excellence: proactive and results oriented, with ability to effectively execute on defined multi-year strategy
  • Champion DEI : believer of Diversity hiring and inclusivity and stood up Women in Tech Forums, builds strong & diverse teams, develops people, grows trusted partnerships
  • Emotionally intelligent: high level of self-awareness, empathy, and interpersonal skills
  • Strong Communicator: excellent communication and presentation skills
  • Industry Partnership & Alliance: Alliances with Industry leading vendors like Google, Starburst, DataBricks, and speaker at Industry events like Google Next

Timeline

Head Of Consumer Data Technology

Wells Fargo & Company
03.2021 - Current

Head Of Enterprise Data Engineering and Platforms

WELLS FARGO
01.2018 - 02.2021

Risk Technology and Analytics Lead

Bank of America
04.2017 - 01.2018

Technology and Analytics Lead

FIRST DATA CORPORATION
08.2015 - 01.2017

Build Manager Corporate Technology

JP Morgan
03.2012 - 08.2015

Build Lead Operations Risk Technology

JP Morgan Chase
03.2011 - 03.2012

Enterprise Architecture and Technical Lead

UBS Financial Services
08.2005 - 03.2011

Sr Consultant Engineer

Deutsche Bank, Citibank, Goldman Sachs & Co
03.2000 - 08.2005

Master of Science - Computer Science

Sri Venkateswara University
Raj Madugula