Engineering Manager, Analytics Engineering in Boston

Job Description

We’re hiring an Engineering Manager to lead this function as a player‑coach. This person will build the team while remaining hands‑on in designing and building analytical data products.

This role will shape how data engineering enables BI, AI, and agentic systems at Zus by producing high‑quality, explainable datasets that accelerate AI‑supported healthcare applications.

Responsibilities Lead data engineering for 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. 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. 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. Qualifications Expert SQL and data modeling. Expert ETL skills using dbt or similar frameworks. Experience managing or mentoring analytics and data engineers. Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, SparkSQL). Experience with automation and data reliability practices (testing, monitoring, CI/CD). Facility with modern BI tools and semantic modeling (Sigma). Strong hands‑on experience building production analytical data products. Ability to balance people leadership with hands‑on technical work. Preferred Experience working with healthcare data such as FHIR, clinical datasets, or claims. Knowledge of Value‑Based Healthcare concepts and systems. Experience building datasets for machine learning or AI systems. Interest in building data systems that enable AI‑driven healthcare applications. Enjoy building and leading teams while still remaining hands‑on. Built analytics systems that power products, workflows, or AI systems—not just dashboards. Excited about using LLMs and agentic AI to improve healthcare workflows and analytics systems. Enjoy designing clean semantic layers and trusted data models that teams can build on. Enjoy working in early‑stage environments where you can shape architecture, standards, and team culture. Based in Boston metro and excited to collaborate in person on a hybrid schedule, or remote (EST/CST) but willing to travel for in‑person collaboration occasionally. Benefits Competitive compensation including cash and equity. Robust benefits: health insurance, wellness benefits, 401k with match, unlimited PTO. Opportunity to work with a passionate team that is determined to change the world.

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