Senior Director of Data, Wizard

• 12+ years of experience across data engineering, data platforms, or analytics, with significant leadership scope
• 6+ years leading senior managers and/or directors in complex data organizations
• Proven experience owning end-to-end data systems in a production, cloud-based environment (AWS, GCP, or Azure)
• Deep understanding of large-scale data ingestion, pipelines, analytics, and operational reliability using Apache Spark for parallel processing and Airflow for orchestration
• Strong judgment in balancing speed, quality, cost, and long-term maintainability
• Ability to operate comfortably at both strategic and deeply technical levels
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or equivalent experience

Desirable

• Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust
• We are hiring a Senior Director, Data to own Wizard’s end-to-end data platform
• This role brings together Data Engineering, Data Analytics, Data Acquisition, and Data Operations under a single leader for the first time
• Reporting directly to the CTO, you will be responsible for the strategy, architecture, execution, and evolution of our data systems that serve as one of our companies core strengths
• This is a true “head of data” role with accountability for how data is collected, processed, governed, surfaced, and operationalized across the business
• You will lead senior managers and directors, shape long-term data strategy, and partner closely with Product, AI/ML, Engineering, and Leadership to ensure data is reliable, scalable, and aligned with Wizard’s product and growth goals
• 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