Engineering Manager, Analytics Engineering at Zus Health

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

235000.0

Posted On

16 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Analytical Data Modeling, Dbt, Cloud Data Warehouses, Snowflake, Bigquery, Sparksql, Automation, Data Reliability, Ci/Cd, Semantic Modeling, Machine Learning, Workflow Orchestration, Airflow, Fhir, Mentoring

Industry

Software Development

Description

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. Zus is building a clinical data-first analytics foundation for providers with a focus on value-based care (VBC). Our data powers longitudinal care management across areas like medication adherence, care gap closure, risk stratification, and transitions of care. We’re hiring an Engineering Manager, to lead this function as a player-coach. This person will grow the team while remaining hands-on in designing and building analytical data products. This role will shape how analytics engineering enables BI, AI, and agentic systems at Zus by producing high-quality, explainable datasets that accelerate AI-supported healthcare applications. \n 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 \n $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. \n 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.

Responsibilities

This role involves leading the analytics engineering function as a player-coach, growing the team while remaining hands-on in designing and building analytical data products. Responsibilities include building production-grade analytical data models, translating healthcare data into reusable assets, and enabling AI-driven data systems.