Key Responsibilities Serve as a primary contact for engineering teams seeking cloud cost guidance, responding to questions in real time through Slack and other asynchronous channels. Proactively engage with high-spending R&D teams to: Review monthly cloud spending. Identify cost optimization opportunities. Understand upcoming engineering roadmap plans and their potential cost implications. Capture meeting notes, recommendations, recurring questions, and emerging cost patterns. Monitor cloud and AI/LLM spending for anomalies, spikes, and inefficiencies. Investigate spending variances, produce written root-cause analyses, and recommend optimization opportunities to team owners. Document investigations in Jira and flag relevant findings for monthly reporting. Participate in monthly forecasting by: Reconciling central forecasts with team-level projections. Documenting discrepancies. Capturing team plans and anticipated spending. Contribute practitioner insights and team-sourced information, including AI/LLM cost drivers, to Showback reporting and spending reviews. Support cloud cost awareness and education across engineering and R&D teams. Audit and update technical wiki content and documentation. Model team cost projections and track team investments and projects. Respond to cost-related requests through Slack, email, and other communication channels. Focus on advisory and analytical delivery. Central budget ownership, vendor contract modeling, and platform/tooling engineering are outside the scope of this engagement.