• Set and own the company-wide data strategy across engineering, analytics, acquisition, and operations • Build and lead a multi-disciplinary data organization with clear charters, ownership, and accountability • Translate company and product priorities into a coherent data roadmap • Establish success metrics for data reliability, coverage, quality, and business impact • Own the design and evolution of Wizard’s data architecture covering ingestion, compilation, auditing, and analytics • Ensure systems scale reliably as data volume, product complexity, and customer usage grow • Balance near-term execution with long-term architectural health and flexibility • Oversee large-scale data acquisition through web crawling, third party APIs, and data feeds in various formats as a core product input • Ensure Spark-based data compilation pipelines are efficient, resilient, compliant, and adaptable to changing sources • Partner closely with AI/ML and product teams to align data acquisition with model and product needs • Lead the analytics function that supports product, growth, operations, and leadership decision-making • Ensure data is accessible, trusted, and well-modeled for both technical and non-technical stakeholders • Drive standards for metrics definition, reporting, and experimentation • Own data quality, observability, incident response, and operational rigor across all data systems • Establish governance, privacy, and security practices appropriate for scale and regulatory expectations • Ensure strong documentation, operational readiness, and clear escalation paths • Serve as a senior thought partner to Product, AI/ML, Engineering, and Leadership • Influence roadmap decisions by grounding discussions in data realities and tradeoffs • Act as the primary executive owner for data across the organization