Senior Director, Data

Wizard

2h•$260,000 - $285,000•Remote

About The Position

Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard. 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.

Requirements

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

Nice To Haves

Experience with large-scale crawling or external data acquisition systems
Background working closely with ML or AI-driven products
Experience scaling data organizations in high-growth startups
Familiarity with modern data stacks, real-time processing, and experimentation platforms

Responsibilities

Data Strategy & Leadership
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
Architecture & Platform
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
Data Acquisition
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
Analytics & Data Products
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
Data Operations & Governance
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
Cross-functional Partnership
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