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 LeadershipLead, grow, and support multiple data teams (currently two teams), creating an environment where people thrive professionally and personallyHire top talent and build strong team structures that can scale with the companyCoach, mentor, and up-level managers and senior engineers, fostering ownership and accountabilityPromote a culture of excellence, collaboration, and continuous learningTechnology & ArchitectureOwn data platform end-to-end: ingestion, transformation, storage, and serving layersConnect business and product needs with pragmatic, scalable technical solutionsDrive architectural decisions that balance speed, quality, reliability, and long-term maintainabilityEnsure the data platform supports both current products and future growthCross-Company LeadershipLead complex, cross-team technical initiatives involving Product, Engineering, AI, Medical, and SupportServe as a key interface between data teams and the rest of the organizationBe a thought partner to product and business leaders on data capabilities and trade-offsR&D ManagementBe an active member of R&D leadership teamHelp define priorities, execution plans, and best practices as scalesContribute to company-wide technical and organizational decisionsAI-First MindsetDrive adoption of an AI-first approach to building, running, testing, maintaining, and documenting systemsEncourage the use of AI tools and practices to increase team efficiency, quality, and innovationHelp redefine how data platforms are built and operated in an AI-native companyRequirements: Proven experience leading multiple engineering teams with a strong track record of growing people and helping them succeedStartup mindset - comfortable with ambiguity, fast growth, and evolving processes, while understanding whats needed to scale sustainablyStrong technical orientation and curiosity, with the ability to quickly learn new domains and technologies and develop long term vision for the architecture , process and structure of the teamExperience leading large, cross-team technical initiatives end-to-endExcellent communication and stakeholder management skillsNice to Have:Experience building or operating large-scale data platformsFamiliarity with healthcare data ecosystems (EMRs, HIEs, clinical data)Experience working in AI-driven or data-heavy productsThis position is open to all candidates.