• Own delivery and execution • Lead delivery across data initiatives, ensuring roadmaps are executed on time, at high quality, and aligned to business goals • Lead and grow the data organization • Manage and mentor data analysts and data engineers • Set technical direction and raise the bar for analytics, data modeling, and insights • Turn data into decisions • Drive advanced analysis using Python and SQL to uncover trends and influence product, customer experience, and strategy • Build and scale data infrastructure • Own data pipelines and analytics architecture using dbt and Amazon Redshift • Ensure performance, reliability, and scalability as the company grows • Ensure data trust and quality • Define and enforce data quality, validation, and governance standards • Build confidence in analytics and reporting across the organization • Partner cross-functionally • Work closely with Product, Marketing, Customer Support, and Engineering to align data efforts with real business needs • Set culture and best practices • Promote modern data engineering practices • Foster a culture of learning, continuous improvement, and innovation