VP, Senior Cloud Data Architecture & Migration Leader

Role Summary/Purpose: We are looking for a  VP, Senior Cloud Data Architect & Migration Leader  to lead enterprise-scale cloud data migration strategy, execution, and product enablement for Synchrony’s modern data ecosystem. This leader will be accountable for shaping and driving the modernization of legacy data platforms into secure, scalable, resilient, high-performing cloud-native data capabilities that support operational workloads, AI / advanced analytics, regulatory needs, and superior user experiences. This role will define and lead the end-to-end cloud data migration roadmap, strategy, consumption model, governance approach, and execution framework across cross-functional teams. The ideal candidate will partner with senior business, technology, architecture, security, risk, data, analytics, product, and operations stakeholders to prioritize migration outcomes, improve data accessibility and performance, accelerate adoption of reusable cloud data capabilities, and ensure solutions are aligned to enterprise Synchrony strategy and measurable business value. The candidate will bring strong stakeholder influence, product mindset, delivery leadership, and technical depth, while leveraging AI and automation tools to drive efficiency, innovation, and scalable execution. Essential Responsibilities: Lead enterprise cloud data migration strategy, roadmap, and execution across complex modernization initiatives, ensuring alignment with business priorities, enterprise data strategy, operational resilience, regulatory expectations, consumption performance, and long-term scalability. Define and manage the strategic vision, capabilities, adoption strategy, and value roadmap for cloud data platforms and data products, with a focus on usability, discoverability, performance, self-service, and superior end-user experience. Provide senior leadership and architecture direction across cloud data platforms, lakehouse and data mesh patterns, event-driven architecture, API-enabled data sharing, semantic layers, AI / advanced analytics ecosystems, and operational data consumption patterns. Drive prioritization, sequencing, and execution of migration initiatives across legacy data ecosystems, balancing business value, technical dependencies, platform readiness, risk, cost, performance, resiliency, and change impacts. Partner with senior business, technology, security, risk, data, analytics, operations, and product stakeholders to assess current-state environments, identify modernization opportunities, resolve strategic trade-offs, and deliver measurable outcomes. Establish and scale reusable migration frameworks, product operating models, architecture principles, design patterns, reference architectures, governance controls, and implementation standards for secure, governed, high-performing cloud data solutions. Influence and align cross-functional teams across enterprise architecture, engineering, product, analytics, platform, and delivery…