Executive Scope Strategic Leadership And Transformation Quality Architecture And Engineering Modern Estate Legacy Modernization Core TA Oracle Apps CI/CD & Delivery Enablement Hybrid Landscape Capability Building And People Leadership Synthetic Test Data Engineering Reliability, Resilience And Chaos Engineering Business Impact
Asset Servicing - Transfer Agency
Led Quality Engineering strategy and execution for an enterprise-scale Transfer Agency portfolio comprising 8 product groups, spanning modern cloud-native platforms and a mission-critical legacy Oracle Apps ecosystem. Accountable for test strategy, automation architecture, delivery assurance, reliability, and capability building across multiple squads supporting critical financial operations.
- Defined and executed a business-unit-wide Quality Engineering transformation, embedding Automation-First, Shift-Left, and Test Pyramid principles within a DevSecOps delivery model.
- Owned the end-to-end quality strategy for the Core TA platform, governing testing across 4 interdependent squads that form the backbone of Transfer Agency operations.
- Partnered with Engineering, Product, and Platform leadership on quality risk management, release strategy, and operational resilience.
- Established a sustainable, portfolio-wide Quality Engineering operating model that bridged modern cloud-native systems and legacy enterprise platforms.
- Architected and designed enterprise-grade, reusable test frameworks for applications built on Java, React, and Kafka-based event-driven microservices.
- Standardized common automation components and libraries adopted across multiple product groups, improving consistency, reducing duplication, and accelerating delivery.
- Designed validation approaches for asynchronous, distributed Kafka workflows, enhancing defect detection, observability, and reliability in complex event-driven systems.
- Led quality modernization for a legacy, desktop-based Oracle Applications ecosystem, a core system underpinning Transfer Agency operations.
- Designed and implemented a structured UFT automation framework, replacing ad-hoc, manual-heavy testing with scalable, repeatable regression suites.
- Harmonized testing practices across the 4 Core TA squads, bringing consistency to a previously fragmented quality landscape while minimizing delivery risk.
- Designed CI/CD-aligned test automation pipelines covering both modern cloud-native systems and legacy Oracle/UFT-based platforms.
- Defined clear quality gates across build, integration, regression, and production readiness, enabling faster and safer releases.
- Delivered multiple high-impact Proof of Concepts that secured leadership buy-in and funding for scaled automation adoption.
- Mentored and coached 15 quality engineers across multiple squads, elevating capabilities in modern SDET practices, API testing, Kafka validation, and CI/CD.
- Reconstituted the team to ensure alignment with the Quality Engineering transformation agenda, strengthening capability in modern SDET practices while maintaining continuity of delivery.
- Built a culture of engineering rigor, automation mindset, and continuous improvement across the portfolio.
- Provided ongoing technical leadership, career mentoring, and day-to-day guidance to distributed quality teams embedded within product squads.
- Led the design of a Synthetic Test Data Engineering solution, defining complex domain data requirements and building scalable generation frameworks.
- Improved test stability, repeatability, and environment reliability by reducing dependency on inconsistent legacy datasets across both modern and Oracle-based systems.
- Contributed to the Recovery and Resiliency strategy for the TA platform, integrating reliability testing into the QA lifecycle.
- Applied Chaos Engineering using Chaos Mesh to validate fault tolerance, graceful degradation, and recovery behavior in production-like environments.
- Enabled safer, faster releases for mission-critical Transfer Agency platforms handling high-value financial transactions.
- Reduced manual testing dependency across modern and legacy systems through scalable automation.
- Improved production reliability and incident resilience via structured reliability and chaos testing.
- Institutionalized a modern, sustainable Quality Engineering model spanning both cloud-native and legacy enterprise ecosystems.