Jagdish Patil

About Jagdish Patil

25+ Years of Transformative Leadership in Data Management, Cloud Engineering, and Program DeliveryCurrently serving as Product Owner / Delivery Head at Barclays, I lead the AWS Engineering capability and drive the Data Lake Cloud Migration Strategy—enabling scalable, compliant, and cost-optimized data platforms.With a proven track record in leading global delivery and driving transformation at scale, I bring strong leadership, strategic foresight, and hands-on expertise in aligning technology to business goals. Key Areas of Impact:Enterprise Data Strategy & Cloud Modernization:Successfully implemented the Data Strategy for Barclays, migrating complex legacy Hadoop, Teradata to Cloud, achieving TCO reduction and alignment with Group Tech strategy.Data Governance & Management Excellence:Deep expertise in Metadata Management, Data Lineage, Data Quality, and Master Data Adoption—enabling compliance, transparency, and business-ready data ecosystems.Engineering & DevOps Excellence:Instituted a transparent framework for CIO-level visibility into Lead Time, Developer Productivity, Billable Code Hours, CI/CD maturity, and engineering KPIs.Framework Reusability & Cost Efficiency:Developed reusable frameworks for GDPR-compliant Data Acquisition, Historical Loads, and Automated Testing—delivering 30%+ efficiency gains.Global Delivery & Product Implementation:Led product delivery and implementations across Germany, Kenya, Uganda, and India, supporting global banks like Standard Chartered, GE Bank, and Barclays NBFC—primarily in retail lending and credit card domains.Stakeholder Collaboration & Leadership:Work closely with CIOs/CDOs to align on funding, value cases, and delivery governance. Strong vendor management background ensuring SLA compliance and seamless service delivery.People-First Leadership:Advocate of Diversity & Inclusion, with a passion for mentoring teams, nurturing future leaders, and fostering collaborative, empowered engineering cultures.

Experience

1. Vice President of Engineering

   Barclays

   Jul 2021 — Present

   Proud to lead at the intersection of Data, Cloud, and Business Strategy as a Product Owner / Lead Data Engineering at Enterprise Data Platform — shaping high-impact platforms and outcomes across global organizations.Over the years, I’ve had the privilege of driving enterprise-scale data modernization and migration strategies, blending cloud-native engineering with a strong focus on governance, performance, and stakeholder alignment. Led AWS Engineering and Data Lake Cloud Migration Strategy, delivering scalable, secure, and cost-optimized solutions aligned to business and regulatory needs. Migrated Petabytes of Data using automated Data pipelines. Enabled Datawarehouse solutions such as Redshift / Redshift Spectrum. Databricks & Snowflake for ML & GenAI adoption. Championing Engineering Excellence, with CIO-level transparency across DevOps KPIs — from lead time and developer productivity to CI/CD maturity. Deeply committed to diversity, inclusion, and talent development, mentoring high-potential professionals and fostering a culture of continuous improvement.Always open to conversations on driving data transformation at scale, enabling data-driven decision making, and leading cloud-first innovation journeys.#EnterpriseData #DataLeadership #CloudMigration #AWS #DataStrategy #ProductOwner #DigitalTransformation #DevOpsExcellence #AI #DataGovernance #DiversityInTech

Education

• Great Lakes Institute of Management

  Postgraduate Degree, Cloud Computing

• Shivaji University

  Master of Computer Applications - MCA, Computer Science