Head of Data Analytics & Insights

About the Role

We’re looking for a forward-thinking Head of Customer Value Analytics to lead the evolution from traditional reporting to AI-powered, agentic analytics and decisioning. This role is a key driver of TrueMoney (TMN) portfolio growth, leveraging data and AI to unlock business opportunities across the comprehensive money services business (MSB). You will lead a hybrid organization of data analysts and an AI agent, building intelligent systems that transform data into scalable insights and automated decisions for revenue growth.

Responsibilities

• Own and drive data-driven growth strategy across TMN products and translate data insights into measurable impact on revenue, growth, and efficiency.
• Identify and unlock new business opportunities through analytics, experimentation, and AI model-driven initiatives.
• Lead the shift to AI-orchestrated analytics workflows and build/scale automated decision engines.
• Design agentic systems, workflows, and automation frameworks that embed into daily operations.
• Lead Customer Value Analytics & Insights, measurement, and bridge data with business strategy.
• Own and develop complex dashboards, performance reports, and advanced analytics (root-cause, impact, and factor analysis) across use cases and growth domains.
• Conduct deep analysis on customer value engagement segments and translate engagement findings into actionable initiatives.
• Analyze campaign performance, identify trends and opportunities, and translate business questions into data-driven insights using AI model scoring to drive commercial value.
• Define and establish robust tracking metrics and KPI frameworks to measure business performance, support model evaluation and validation, and feed insights back into model refinement and next-cycle optimization.
• Maintain and optimize analytics automation engines, ensuring seamless integration with Martech platforms.

Qualifications

• 8+ years in Data / Product Analytics with experience managing large teams and driving business impact.
• Strong technical foundation in SQL, Python, BI tools (Tableau, Looker), and statistics.
• Solid understanding of AI/Agentic systems, automation, and workflow design; ability to design or work with AI agents, automation pipelines, and analytical frameworks.
• Experience in A/B testing, segmentation, funnel & campaign analytics.
• Familiar with tools like Google Analytics (GA), Mixpanel, Appsflyer, Facebook Insights.
• Strong ability to translate technical concepts into business insights and storytelling, with excellent stakeholder management, strategic thinking, and execution mindset.