About the job
About Us: At Duet, we are dedicated to empowering Nurse Practitioners (NPs) to address the primary care crisis by leading their own independent practices. Our mission is to enhance access to healthcare while ensuring that care remains community-focused. As a well-funded seed-stage company, we are spearheaded by experienced entrepreneurs and Nurse Practitioners, supported by prestigious investors such as Kairos HQ and Lerer Hippeau.
We are in the process of developing a vertically integrated platform designed specifically for NP-led practices, enabling them to flourish as independent entities in an era of corporate consolidation. Our innovative solutions encompass workflows that enhance patient engagement, streamline administrative tasks, forecast business growth, and promote value-based outcomes, all while fostering a supportive community among NPs. Central to our offerings is a robust data foundation that we leverage for the mutual benefit of healthcare delivery and practice success.
About the Role: As Duet’s inaugural Head of Data, you will be responsible for crafting the comprehensive strategy for data ingestion, storage, governance, and delivery across our platform powered by Google Cloud Platform (GCP). Reporting to the Head of Strategy, your responsibilities will be balanced between hands-on data modeling and platform prototyping (proficiency in Python or a similar programming language is essential) and establishing the strategic frameworks, standards, and processes to ensure our data ecosystem scales efficiently and securely.
Key Responsibilities:
Architect & Scale the Platform: Design, implement, and optimize our GCP-driven data platform, including data warehouses, ETL pipelines, and deployment workflows, to guarantee high availability, performance, and swift data onboarding.
Programmatic Ingestion and Export: Oversee the methods of data integration into our ecosystem and its dissemination, utilizing SFTP, API, and other techniques as required.
SQL-Centric Pipeline Development: Guide the design and optimization of complex SQL-based ETL/ELT processes (BigQuery, Cloud SQL, etc.), evaluate team members’ SQL and data model submissions, and collaborate with analytics engineers to ensure the delivery of clean, efficient data marts.
Team Leadership & Hiring: Recruit, mentor, and develop a diverse engineering team (covering data, back-end, and front-end). Create clear career progression paths, conduct regular one-on-one meetings, and cultivate a culture of continuous learning and accountability.
Process & Delivery Management: Define and enhance agile methodologies including sprint planning, code review protocols, CI/CD pipelines, and incident response strategies to maintain high productivity without compromising quality or stability.
Strategic Planning & Execution: Partner with the Head of Strategy and other key stakeholders to chart the future direction and implementation of our data initiatives.

