Seek

Director, Data Science & Analytics

Seek

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $165,000 - $185,000 per year

Job Level

Lead

Tech Stack

CloudPythonSparkSQL

About the role

  • As Director of Data & Analytics, you'll be responsible for defining the architecture, standards, and operating model for transforming raw provider datasets into scalable, secure, and maintainable analytics products.
  • You'll also help design the framework that enables Data Science teams to build and deploy advanced models, workflows, and applications faster than ever before.
  • In addition, you'll play a key role in evaluating and integrating AI capabilities into the Insight Cloud platform.
  • Unlike traditional internal analytics teams, this role owns externally-facing data products—ML models, predictive pipelines, and embedded dashboards—delivered as commercial software to third-party end users.
  • These applications must be engineered for robustness, version control, extensibility, and customer feedback loops.
  • The ideal candidate brings deep technical expertise in modern data platforms, applied ML and AI infrastructure, and embedded analytics—paired with a strong product mindset.
  • You've built systems designed to last and led teams that understand the difference between a prototype and production-grade software.

Requirements

  • 8+ years of experience in data infrastructure, applied analytics, or ML systems, including 4+ years in technical leadership roles.
  • Hands-on expertise with Snowflake, SQL, and Python.
  • Proficiency with distributed compute engines (e.g., Spark) and experience architecting DAG-based pipelines and parallel workflows.
  • A proven track record of delivering customer-facing analytics products, not just internal dashboards, with an emphasis on scalability, version control, and lifecycle ownership.
  • Deep understanding of analytics architecture in multi-tenant SaaS environments, including security, scalability, observability, and governance.
  • Experience leading collaboration across data, product, engineering, and external partners to deliver complex analytics solutions.
  • Familiarity with embedded BI tools (e.g., Sigma, Looker, ThoughtSpot) and an interest in LLM-driven augmentation patterns.
  • A Bachelor’s degree in a quantitative or technical field (Master’s preferred).