Data Engineering Manager

Imagen Technologies•New York, NY

1d•$200,000 - $250,000•Remote

About The Position

Imagen Technologies is seeking an experienced Engineering Manager to build and lead their AI Data Platform team. This platform is crucial for the company's AI development, which has already resulted in 6 FDA-cleared AI products. The role offers the opportunity to build a team and a platform that directly impacts patient outcomes by driving the development of next-generation diagnostic tools. The ideal candidate will be comfortable with hands-on work initially and transition to full-time management as the team grows. This position reports to the Head of Engineering and collaborates with the Chief AI Officer, Product leaders, Clinical team, and other engineers.

Requirements

Mission-driven and passionate about building foundational technology to improve healthcare
8+ years of experience in software or data engineering, with at least 2 years in an engineering management role and a proven track record of building engineering teams or scaling teams through a significant growth phase
Strong technical foundation in data engineering - comfortable reviewing system designs, making architectural decisions, and contributing code in Python and SQL when needed
Experience with cloud-native data platforms and modern data infrastructure (e.g., data lakes, data warehouses, ETL/ELT pipelines, workflow orchestration tools like Airflow/Prefect/Dagster)
Demonstrated ability to manage cross-functional stakeholders and translate business needs into engineering priorities
Experience operating in a fast-paced, high-growth environment where priorities shift and ambiguity is the norm
BS in Computer Science or a related field, or equivalent real-world experience

Nice To Haves

Experience in healthcare, healthtech, or another regulated industry (HIPAA, FDA, GDPR) preferred
Experience with MLOps or building infrastructure that supports machine learning workflows preferred
Experience with multi-cloud environments and cloud cost optimization (preferred)

Responsibilities

Build and Lead the Team: Hire and manage a team of data engineers (ranging from staff to mid-level). Establish team processes, engineering culture, and development practices from day one. Coach and grow engineers across multiple levels.
Own the AI Data Platform: Take full technical and operational ownership of the platform that ingests, de-identifies, transforms, and serves clinical imaging data (e.g., DICOM) and reports. Ensure the platform is reliable, scalable, and secure.
Define and Execute the Technical Roadmap: Set the technical direction for the platform. Prioritize work across scalability improvements, new capabilities, and technical debt reduction in alignment with business OKRs.
Ensure Data Quality and Compliance: Implement data quality frameworks, validation checks, and governance processes. As the steward of highly sensitive medical data, ensure all aspects of the platform are compliant with HIPAA and other applicable regulations.
Drive Cross-Functional Collaboration: Serve as the primary point of contact for the AI, Product, Clinical, and Regulatory teams on all data platform matters. Translate their needs into a prioritized roadmap and ensure the team delivers reliably against commitments.