Engineering Manager, Analytics Engineering

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.

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.

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.