• Own the end-to-end measurement framework for Amex GBT’s GTM engine, spanning demand generation, pipeline progression, sales productivity, client adoption, and retention. • Partner with Marketing, Sales, and Client Management teams to assess program impact and optimize channel mix, targeting, segmentation, and investment decisions. • Lead monthly and quarterly business reviews with actionable insights, trend analysis, and executive-ready narratives. • Build and continuously refine revenue-adjacent forecasting models aligned to marketing contribution, sales motions, and customer expansion. • Partner with Finance and Revenue Management on budget planning, scenario modeling, and goal setting. • Identify GTM-specific drivers of performance variance and provide recommendations to close gaps. • Develop a cohesive analytics roadmap covering attribution, experimentation, segmentation, predictive scoring, funnel intelligence, and customer value modeling. • Define data requirements and partner with Data Engineering and Decision Analytics to improve data accessibility, quality, and structure. • Champion a culture of measurable impact, experimentation, and evidence-based decision-making. • Define and continuously refine audience strategy, including addressable opportunity sizing, ICP development, and high-value segment identification. • Partner with stakeholders across Marketing, Commercial and Decision Analytics to translate segmentation and behavioral insights into actionable targeting strategies. • Identify growth opportunities by analyzing engagement patterns, buying committees, account behaviors, and customer lifecycle signals to inform channel allocation, campaign design and sales motions. • Build an integrated view of prospect intent and customer value indicators to ensure consistent, data-drive activation, personalization, and prioritization across GTM teams. • Serve as the analytical “center of gravity” for GTM decisions across Commercial. • Translate complex analytics into clear guidance for executives and ops teams. • Partner with MarTech, Digital, and Data Science to operationalize analytical outputs into automated workflows (e.g., scoring models, dashboards, triggers). • Lead and grow a team of analysts and data stewards across performance analytics, forecasting, and insights. • Set analytical standards, including methodologies, governance, and storytelling best practices. • Foster a high-performance, collaborative, and inclusive team culture.