Engineering Manager

we are looking for a Engineering Manager.
As Engineering Manager (Data Platform), you will own this critical layer end-to-end - leading multiple teams responsible for acquiring, transforming, and serving healthcare data at scale.
This role combines people leadership, technical ownership, and strategic influence. You will lead the teams that ingest data from diverse external sources (EMRs, HIEs, external Snowflake instances and more), transform it into core data structures, and reliably serve it to internal and external consumers across the company.
As an architectural owner of one of most critical assets, you will work closely with Product, Engineering, Medical, AI, and Support teams, and play a key role in shaping R&D leadership and long-term growth.
Responsibilities:
People Leadership
Lead, grow, and support multiple data teams (currently two teams), creating an environment where people thrive professionally and personally
Hire top talent and build strong team structures that can scale with the company
Coach, mentor, and up-level managers and senior engineers, fostering ownership and accountability
Promote a culture of excellence, collaboration, and continuous learning
Technology & Architecture
Own data platform end-to-end: ingestion, transformation, storage, and serving layers
Connect business and product needs with pragmatic, scalable technical solutions
Drive architectural decisions that balance speed, quality, reliability, and long-term maintainability
Ensure the data platform supports both current products and future growth
Cross-Company Leadership
Lead complex, cross-team technical initiatives involving Product, Engineering, AI, Medical, and Support
Serve as a key interface between data teams and the rest of the organization
Be a thought partner to product and business leaders on data capabilities and trade-offs
R&D Management
Be an active member of R&D leadership team
Help define priorities, execution plans, and best practices as scales
Contribute to company-wide technical and organizational decisions
AI-First Mindset
Drive adoption of an AI-first approach to building, running, testing, maintaining, and documenting systems
Encourage the use of AI tools and practices to increase team efficiency, quality, and innovation
Help redefine how data platforms are built and operated in an AI-native company