Zus Health - Engineering Manager, Analytics Engineering

• Build analytics systems • Design and build production-grade analytical data models and datasets. • Translate healthcare data (FHIR, claims, etc.) into reusable analytics assets. • Develop semantic layers and datasets that power workflows, analytics, and AI/ML applications. • Perform data engineering tasks (data transformation and workflow orchestration) to reliably land these tables. • Enable AI-driven data systems • Create structured datasets that support model training, feature engineering, and feedback loops. • Partner with AI and Data Science teams to accelerate LLM and agentic AI capabilities. • Own analytics architecture • Define the analytics-layer architecture from foundational models to workflow-ready datasets. • Partner with Platform Engineering on ingestion, storage, performance, and scalability. • Implement data quality, governance, and observability. • Hire, manage and mentor analytics engineers. • Establish standards for modeling, testing, and documentation. • Lead through coaching, code reviews, and hands-on technical leadership. • You're a good fit because you... • Expert SQL and analytical data modeling • Experience with dbt or similar analytics engineering frameworks • Experience with modern cloud data warehouses and lakes (Snowflake, BigQuery, SparkSQL) • Deep automation and data reliability practices (testing, monitoring, CI/CD) • Understanding of modern BI tools and semantic modeling (Sigma preferred) • Experience building datasets for machine learning or AI systems • Experience with data transformation and workflow orchestration tools such as dbt and airflow • Strong hands-on experience building production analytics systems. • Experience working with healthcare data such as FHIR, clinical datasets, or claims. • Experience managing or mentoring analytics/data engineers. • Ability to balance people leadership with hands-on technical work. • Interest in building data systems that enable AI-driven healthcare applications. • You'll enjoy our culture if you... • You enjoy building and leading teams while still remaining hands-on • You’ve built analytics systems that power products, workflows, or AI systems—not just dashboards • You’re excited about using LLMs and agentic AI to improve healthcare workflows and analytics systems • You like designing clean semantic layers and trusted data models that teams can build on • You enjoy working in early-stage environments where you can shape architecture, standards, and team culture. • Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally • $190,000 - $235,000 a year • It would be great if candidates were able to work in a hybrid capacity out of our Boston office, for remote candidates there will be an expectation of occasional travel for collaboration. • We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity • Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO • Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)