Head of Data

Duet • New York City, NY

14d

About The Position

About us: Duet empowers Nurse Practitioners (NP) to tackle the primary care crisis by leading their own practices, closing the gap in access while keeping care local. We're a well-funded seed-stage company led by experienced entrepreneurs and Nurse Practitioners, and backed by investors like Kairos HQ and Lerer Hippeau. We’re building a vertically integrated platform for NP-led practices to thrive as standalone businesses in a time of corporate consolidation. Think of workflows to engage patients, streamline administration, forecast business growth, and drive value-based outcomes while building community among NPs. These solutions sit on a foundation of data that we harness across patients and providers for the benefit of care and practice success. About the role: As Duet’s first Head of Data, you will own the end-to-end blueprint for how data is ingested, stored, governed, and served across our GCP-powered platform. Reporting to the Head of Strategy, you’ll split your time roughly 50/50 between hands-on data modeling and platform prototyping (familiarity with Python or another programming language required) and defining the strategic frameworks, standards, and processes that ensure our data estate scales securely and reliably.

Requirements

• Experience: 7+ years in software or data engineering roles, with ≥2 years leading small teams—preferably at an early-stage startup, with healthcare background
• Technical Expertise: Proficiency in one or more programming languages (Python, Javascript, etc). Strong SQL skills; familiarity with data modeling and architecture. Demonstrated track record leading data-engineering teams, defining end-to-end data architecture and governance.
• Cloud-Native & Infrastructure as Code: Hands-on experience with containerization (Docker) , plus infrastructure-as-code tools (Terraform, Cloud Deployment Manager).
• CI/CD Pipelines & Automation: Deep familiarity with building and maintaining automated build, test, and deploy pipelines (e.g., GitHub Actions, Cloud Build).
• Leadership & Culture: Demonstrated ability to hire, develop, and retain top talent. Comfortable in a fast-paced, ambiguity-driven environment.
• Communication: Exceptional collaborator who can align technical and non-technical stakeholders around ambitious goals.

Nice To Haves

• Exposure to front-end frameworks (React/Vue) is a plus

Responsibilities

• Architect & Scale the Platform: Design, implement, and optimize our GCP-based data platform—spanning data warehouses, ETL pipelines, and deployment workflows—to ensure high availability, performance, and rapid data onboarding.
• Programmatic ingestion and export : Manage the ways we bring data into our ecosystem and send it out again, whether via SFTP, API, or other methods.
• SQL-Centric Pipeline Development: Lead the design and tuning of complex SQL-based ETL/ELT processes (BigQuery, Cloud SQL, etc.), review teammates’ SQL and data-model pull requests, and partner with analytics engineers to expose clean, performant data marts.
• Team Leadership & Hiring: Recruit, mentor, and grow a cross-functional engineering team (data, back-end, front-end). Establish clear career ladders, conduct regular 1:1s, and foster a culture of continuous learning and ownership.
• Process & Delivery Management: Define and refine agile processes—sprint planning, code review standards, CI/CD pipelines, and incident response practices—to maintain high velocity without sacrificing quality or stability.
• Strategic Planning & Execution: Collaborate with the Head of Strategy and CEO to translate quarterly objectives into technical roadmaps, set measurable OKRs, and drive execution across engineering and product.
• Cross-Functional Collaboration: Liaise with Product and Clinical teams to deeply understand customer needs; translate those into robust, scalable technical solutions and ensure seamless handoffs.
• Quality & Reliability: Champion best practices around testing, monitoring, and alerting. Implement data validation and logging frameworks to ensure platform integrity and drive continuous improvement, while also ensuring flexibility and speed of deployment
• Customer-Centric Advocacy: Serve as an engineering voice in customer conversations, using feedback to inform prioritization, anticipate scale challenges, and deliver delight at every touchpoint.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed