Executive communication (turning complex performance data into clear decisions and actions)
Cross-functional leadership with Sales/Revenue Ops, Finance, Product, and Data teams
Strategic planning and operating cadence (OKRs/KPIs, business reviews, prioritization)
Marketing analytics and measurement design (what to measure, how to measure, and how to validate impact)
Attribution and experimentation (multi-touch attribution concepts, incrementality testing, and avoiding misleading metrics)
Marketing technology ownership (tool evaluation, implementation, adoption, and process fit)
Data governance and quality (consistent tracking, taxonomy, and reliable datasets)
Budget management and efficiency (forecasting, pacing, ROI thinking, vendor negotiations)
Team building (hiring, coaching, defining roles, and creating career paths for ops/analytics talent)