Director, Data Science & Analytics

<h3>📋 Description</h3> • 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. <h3>🎯 Requirements</h3> • 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). <h3>🏖️ Benefits</h3> • Medical Insurance • Dental Insurance • PTO • 16 annual company holidays • 401K • Vision Insurance