Director of Data

B-Stock • San Mateo, CA

3d • $250,000 - $275,000

About The Position

B-Stock is seeking a strategic and hands-on Director of Data to lead our Analytics, Data Engineering, and Data Science functions. This leader will unify our data organization into a high-performing Center of Excellence and play a key role in enabling AI-driven product innovation across bstock.com.
This is a highly visible leadership role that partners closely with Engineering, Product, Marketing, and Executive Leadership to ensure data drives measurable business impact.

Requirements

• 10+ years of experience in Analytics, Data Engineering, or Data Science.
• 5+ years leading multi-functional data teams.
• Strong experience owning both analytics and data infrastructure in a SaaS environment.
• Deep experience with Google Cloud Platform (GCP), including:
• BigQuery and modern cloud data warehousing
• Data pipeline and orchestration tools (e.g., Dataflow, Pub/Sub, Composer)
• Cloud-based ML platforms (e.g., Vertex AI)
• Infrastructure, cost management, and performance optimization in GCP
• Experience production-izing ML models in real-world applications.
• Strong familiarity with BI tools (Tableau, Power BI or similar) and product analytics tools (Amplitude, GA4 or similar).
• Experience working cross-functionally with Product and Engineering leaders.

Nice To Haves

• Marketplace or two-sided platform experience.
• Experience scaling data organizations in high-growth SaaS companies.

Responsibilities

• Lead and Scale the Data Organization
• Oversee Analytics, Data Engineering, and Data Science teams.
• Build and execute a forward-looking Data & AI strategy aligned to company goals.
• Hire and grow high-performing talent, future AI/LLM specialists.
• Establish a culture of technical excellence, accountability, and measurable business impact.
• Drive Business & Product Analytics
• Own business intelligence and analytics platforms including Tableau, GA4, and Amplitude.
• Standardize company-wide metrics and ensure trusted, actionable reporting.
• Enable scalable self-serve analytics and experimentation frameworks.
• Partner with Marketing and Product teams on attribution, growth analytics, and product insights.
• Build Scalable Data Infrastructure (GCP-Based)
• Lead the architecture, optimization, and scalability of data pipelines and warehouse infrastructure within Google Cloud Platform (GCP).
• Leverage GCP data services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, Dataproc) to build reliable, performant systems.
• Ensure strong data quality, governance, security, and cost optimization practices.
• Define and manage SLAs for production data systems.
• Improve observability and monitoring across the data stack.
• Advance Data Science, ML & AI Capabilities
• Lead the development and productionization of ML models that improve marketplace performance.
• Leverage GCP AI/ML services (e.g., Gemini, AutoML, model deployment and monitoring tools) to accelerate experimentation and advance analytical capabilities.
• Establish best practices for experimentation, model lifecycle management, and MLOps.

Benefits

• Competitive compensation packages including bonus and options
• Medical, dental, and vision benefits
• Matching 401(K)
• Paid time off
• Telecommuting and remote-work options
• Support for continuing education
• Team off-sites, social events, annual company events, and frequent extracurricular activities
• Unlimited snacks and drinks

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed