Engineering Manager, Analytics Engineering at Zushealth

Who we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. As part of our team, you will • 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. • Lead the team • 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 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) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.