Growth Analytics & Product Strategy
I have 10+ years of experience in driving business growth through rigorous data science and cross-functional leadership at Google, Intuit, Moody's and Fannie Mae. This pillar of advisory focuses on the following areas: 1. Growth Experimentation & A/B Testing Frameworks: - Design and implement end-to-end experimentation roadmaps to optimize product funnels and engagement. - Cultivate an "experiment-first" culture by establishing best practices for hypothesis testing and impact measurement. 2. Strategic Metric Definition & Business Planning: - Define organizational success metrics and "North Star" KPIs aligned with long-term business strategy. - Conduct deep-dive opportunity assessments to identify untapped growth levers and influence product roadmaps. 3. Advanced Growth Modeling: - Build and deploy ML-driven product recommendation models to personalize in-product experiences and marketing campaigns. - Develop time-series forecast models for accurate financial planning, business reviews, and root cause analysis. 4. Self-Service Analytics & Data Governance: - Partner with engineering to architect self-service analytics capabilities, including data warehouses, automated dashboards, and instrumentation. - Empower non-technical stakeholders to make data-driven decisions through intuitive visualization and storytelling. 5. GenAI for Data Science - AI-drive experimentation & optimization - AI-enhanced growth infrastructure & data workflows - AI-assisted deep dive research, executive reporting and strategy planning
Advisory Scope Summary
1. Growth Experimentation & A/B Testing Frameworks 2. Strategic Metric Definition & Business Planning 3. Advanced Growth Modeling 4. Self-Service Analytics & Data Governance 5. GenAI for Data Science