Saigopal Bukkapatnam

Accomplished and strategy-driven leader with over 15 years of progressive leadership experience across finance, data analytics, and technical project management. Success in driving strategic transformation, leading end-to-end implementations, and optimizing enterprise finance systems. Adept at aligning technology initiatives with enterprise and financial strategies, driving innovation, and leading complex change management efforts across large organizations. Expertise in data science engineering, data governance, AI/ML, cloud infrastructure (AWS), and modern data architectures including ETL, data lakes, NoSQL, and graph databases. Proven leader in defining and executing a technology vision for finance systems, with a strong emphasis on Cloud ERP and EPM transformation. Success in overseeing enterprise-wide implementations, managing cross-functional teams, and partnering with stakeholders across Finance, Global Technology, and vendor ecosystems. Expert in architecting scalable, cloud-native solutions that integrate seamlessly with broader organizational systems while ensuring compliance, security, and high-performance standards. Recognized for building and mentoring high-performing technology teams, optimizing operational efficiency, and managing multi-million-dollar budgets with a strong focus on cost control.

• AWS Certified Data Analytics - Specialty
• AWS Certified Machine Learning (ML) - Specialty
• AWS Certified Database - Specialty
• AWS Certified DevOps Engineer - Professional
• AWS Certified Solutions Architect - Professional
• AWS Certified Solutions Architect - Associate

• Established an enterprise-wide data quality framework informed by DCAM and DAMA best practices, strengthening regulatory compliance and operational efficiency.
• Strengthened data controls and classification protocols to meet privacy regulations and internal compliance standards, ensuring secure handling of confidential and PI data.
• Drove $5M+ in annual cost savings by leading the full repatriation of an outsourced statements platform to an in-house solution, reducing vendor dependency and increasing platform agility.
• Delivered regular executive-level updates, influencing decision-making through clear communication of project milestones, risks, and remediation strategies.

• Vice President Enterprise Data Services, JP Morgan Chase, Columbus, OH, 01/01/16, Present, AWM Annuities, Direct the successful integration of First Republic Bank following its acquisition, overseeing end-to-end due diligence across legal, financial, and operational data, ensuring full readiness at deal close. Deliver seamless alignment of master data and records across multiple lines of business by leading the design and deployment of AI/ML-based data integration tools, significantly reducing onboarding timelines and integration issues. Streamline audit processes by aligning data reporting and governance with regulatory expectations, contributing to multiple consecutive audit cycles with no major findings. Facilitate alignment among executive leadership, operations, data, and audit teams to ensure integrated delivery of business goals and technology strategies. Lead the development and implementation of an AI-powered fraud and risk management platform, resulting in substantial reduction in fraud losses., Instituted a federated data governance model across the enterprise, enhancing data ownership accountability and improving consistency and trust in business-critical datasets., Presented strategic data insights and integration progress directly to the Board of Directors, supporting high-stakes decisions during the First Republic Bank merger., Developed and executed a multi-year roadmap to enhance Chase's data maturity and operations capabilities, supporting strategic growth and technology initiatives across the Wealth Management business., Unified data standards, classifications, and architecture across CWM, JPMA, and PB divisions, enabling faster and more reliable cross-functional analytics., Deployed machine learning models for real-time anomaly detection and data quality validation, enhancing operational monitoring and proactive issue resolution., Stayed ahead of emerging data technologies and market trends, integrating innovation into core data strategies to maintain Chase's leadership in wealth management data capabilities.
• Vice President Enterprise Data Engineering, JP Morgan Chase, Columbus, OH, 01/01/13, 12/31/16, CWM/Strategic Statements, Enhanced operational performance by developing and deploying high-impact data tools that automated critical processes in Global Claims, Underwriting, and Risk Management, cutting manual workload by 40%+. Lead enterprise-scale delivery execution, overseeing release planning, resource allocation, stabilization, and go-live success, ensuring consistent on-time, on-budget implementations. Influenced enterprise transformation as a key contributor to five Associate Advisory Groups and Agile/Lean/DevOps strategy teams, shaping the bank's future-state operating model., Elevated enterprise data quality by architecting and institutionalizing a cross-functional Data Quality program, significantly boosting trust, usability, and regulatory alignment of financial data across all business units., Ensured SOX 404 compliance by integrating robust internal controls into financial data reporting pipelines, enabling accurate and audit-ready SEC filings with zero deficiencies., Accelerated reporting efficiency through reengineering of Chase Enterprise Data Technology's strategic statements process, cutting delivery time, enhancing traceability, and reducing rework., Strengthened cross-functional alignment by establishing transparent, collaborative estimation and solution-design frameworks with key internal clients, accelerating delivery timelines and reducing scope creep.
• AVP/Applications Data Manager, JP Morgan Chase, Columbus, OH, 01/01/12, 12/31/13, EDW /ICDW Customer Data, Steered the full lifecycle execution of the ICDW Customer Data Migration project, driving successful delivery from JAD sessions through BRD and functional specification reviews, ensuring alignment with business goals. Contributed key architectural and design insights during the migration of customer data marts to new platforms within ICDW, ensuring data integrity and system scalability., Authored comprehensive technical data specifications and orchestrated seamless collaboration across global development and QA teams, enhancing cross-regional project efficiency., Resolved high-impact data issues (including P1 incidents) by partnering with end users and providing targeted solutions, minimizing downtime and maintaining trust in critical customer data systems., Improved ETL reliability and maintainability by performing in-depth code reviews and optimizations using Informatica; leveraged Ab Initio for robust code builds and data maintenance, accelerating deployment cycles.
• Sr. Consultant Data Engineering & Product Owner, Nationwide Financial and Mutual Insurance Company, Columbus, OH, 01/01/04, 12/31/12, Delivered enterprise-level data engineering solutions across the full software development lifecycle, resulting in faster deployment and enhanced application performance., Spearheaded training and enablement initiatives for Informatica Analyst and Developer tools, increasing developer productivity and accelerating project timelines., Led high-stakes client engagements to uncover and resolve data risks, directly improving data quality and strengthening regulatory compliance., Designed and implemented SQL-driven data flow processes that significantly reduced validation time and improved operational efficiency across business units., Championed the enterprise adoption of Informatica v9.01, leveraging advanced data profiling and metadata features to enhance integration accuracy and streamline audits.