Director of Data

B-StockSan 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
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