Responsibilities

• Design the analytical framework that unifies brand awareness metrics, digital behavioral data, and lead-to-fulfillment conversion events. Define clear requirements with cross-functional stakeholders to determine the critical path for data-driven execution.
• Lead the strategy for incrementality testing and attribution modeling to prove the true marginal impact of marketing spend, translating complex technical concepts into actionable insights for strategic initiatives.
• Identify high-value user paths and friction points to inform automated engagement triggers and personalized customer lifecycles. Partner with marketers and channel owners to operationalize findings into campaign and lifecycle decisions.
• Partner with Marketing Ops and Data Engineering to audit, optimize, and evaluate pipeline architecture for the MarTech stack (e.g., CDP, CRM, Ad-Platform APIs). Ensure seamless data flow into Databricks, establish control processes around ETL tasks, and maintain accurate documentation of the data dictionary.
• Develop, manage, and maintain critical KPIs and executive dashboards, ensuring maximum reliability, data accuracy, and integrity of information across all marketing and fulfillment datasets.
• Own data validation frameworks and data dictionary documentation; proactively identify and resolve data quality issues across marketing data pipelines to ensure analysts and stakeholders are working from a single source of truth.
• Build consensus among stakeholders with varying perspectives—marketing, engineering, finance, and leadership—by leading user feedback loops, defining requirements collaboratively, and translating business needs into technical specs and vice versa.