Responsibilities\n- Design and implement a comprehensive KPI framework that tracks user acquisition, activation, engagement, retention, revenue, and referral metrics across the Rate App ecosystem.\n- Establish data infrastructure and reporting systems that provide real-time visibility into product performance, user behavior, and growth funnel metrics.\n- Define success metrics for all growth initiatives and ensure rigorous measurement and attribution across channels.\n- Build executive dashboards and reporting cadences that drive data-informed decision making at all levels of the organization.\n- Partner with Data Science and Analytics teams to develop predictive models and advanced analytics capabilities.\n- Lead growth hacking initiatives across paid acquisition, organic growth, viral loops, referral programs, and retention optimization.\n- Drive rapid experimentation through A/B testing, multivariate testing, and growth experiments to identify scalable acquisition and engagement strategies.\n- Optimize conversion funnels and eliminate friction points throughout the user journey from awareness through transaction completion.\n- Develop and execute channel-specific growth strategies including SEO, SEM, social media, content marketing, partnerships, and in-app growth levers.\n- Scale successful growth tactics from pilot to full deployment while maintaining rigorous ROI discipline.\n- Drive complex, high-velocity growth programs across Product, Engineering, Marketing, Sales, Operations, and Analytics teams in a fast-paced fintech environment.\n- Establish program governance structures, sprint cadences, and accountability frameworks that enable rapid execution without sacrificing quality.\n- Manage multiple concurrent initiatives with competing priorities and resource constraints, ensuring alignment and momentum across all workstreams.\n- Build strong relationships with stakeholders across the organization, translating growth metrics into business impact and securing buy-in for resource allocation.\n- Lead weekly growth reviews, monthly business reviews, and quarterly planning cycles that keep teams focused on the highest-impact opportunities.\n- Conduct deep-dive analyses to understand user behavior patterns, identify growth bottlenecks, and uncover optimization opportunities.\n- Build cohort analyses, lifetime value models, and churn prediction frameworks that inform product and marketing strategy.\n- Establish benchmarking against industry standards and competitive products to identify performance gaps and opportunities.\n- Implement attribution modeling to accurately measure the ROI of growth investments across channels.\n- Drive continuous improvement through systematic post-mortems, learnings documentation, and best practice sharing.