• Own end-to-end implementation programs spanning multiple teams, clients, and concurrent workstreams, accountable for outcomes, timelines, and cross-functional execution. • Manage multiple concurrent, interdependent programs with competing priorities, balancing delivery speed, quality, and organizational capacity. • Build a bridge between Data Engineering, Implementation, Product, and Engineering; clear ownership models, handoffs, and decision-making frameworks • Act as central program manager for Data Engineering Integrations team, manage processes to drive execution and reduce coordination overhead • Adapt Agile and project management frameworks to support efficient, high-quality client integrations on fast-paced timelines • Manage data governance coordination across multiple cross-functional stakeholder groups to ensure data specifications align with product needs