• Monitor daily journey and automation performance to ensure data volumes and configurations align with expectations. • Act as the first point of contact for post-scheduling and production issues, coordinating fixes with technical teams. • Conduct and document Root Cause Analyses (RCAs) for production incidents; lead monthly RCA readouts and present insights to leadership. • Generate bi-weekly and monthly performance reports for internal business and leadership reviews. • Validate end-to-end data flow across multiple systems (Data Cloud → SFMC → Journey Builder → Content). • Perform daily health checks on live journeys and escalate anomalies using standardized RCA templates. • Troubleshoot automation and data sync issues in collaboration with engineering and capability teams. • Support AI-driven QA processes to maintain a 99% error-free KPI. • Participate in agile sprint reviews, identifying blockers and process improvement opportunities. • Maintain up-to-date Confluence documentation of recurring issues, resolutions, and best practices.