Director of Data

WHAT YOU WILL DO? 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.

• 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.

• Lead the architecture, optimization, and scalability of data pipelines and warehouse infrastructure within Google Cloud Platform (GCP).
• Leverage GCP data services (e.g., Big Query, 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.

• Lead the development and productionisation 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.

• A unified and high‑performing Data organization.
• Trusted, standardized metrics across the company.
• Scalable, reliable GCP‑based data infrastructure supporting business growth.
• AI/ML models successfully drive into the data‑driven product features.
• Clear data‑driven insights influencing executive decision‑making.

• 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:
• Big Query 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.

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

You’ll have the opportunity to shape how data and AI power one of the world’s largest B2B marketplace platforms. This role offers high impact, executive visibility, and the ability to build and scale a modern data organization at a pivotal growth stage.

The pay rate for this role will range between $250,000 to $275,000, per annum. We consider many factors when determining salary offers, such as the applicant’s work experience, education and training, skills, market data, and internal equity.

• 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

B-Stock is the world's largest B2B re‑commerce platform, connecting sellers and buyers of returned, trade‑in, and overstock inventory. Our customers range from today’s top brands and retailers that want best‑in‑class inventory resale management to tens of thousands of entrepreneurs looking to purchase valuable merchandise for their resale businesses.

While the amount of returned and overstock inventory continues to grow, there is also growing pressure on retailers and consumers to adopt a…