Technology Strategy & Vision : Define and execute the long-term technology roadmap in alignment with business goals. Stay ahead of healthcare trends, compliance and regulatory landscapes. Evaluate and implement third-party tools and platforms that enhance organizational efficiency and impact.
Scalable Systems : Architect and scale high-performance, secure, and compliant platforms capable of handling exponential user and data growth for research and development. Support AI driven development to better support our research towards child mind health
Team Leadership : Build, scale, and mentor world-class engineering, DevOps, and data teams. Encourage and support a culture of ownership, collaboration, and continuous learning.
Operational Excellence : Implement agile processes, rapid deployment pipelines, and efficient engineering workflows to move swiftly yet cautiously. Ensure that systems run at their optimal best both from a performance and availability perspective.
Product Collaboration : Partner with Product and Design to translate customer needs into scalable, intuitive solutions.
Security & Compliance : Ensure best-in-class cybersecurity practices, data governance, and regulatory compliance (e.g., Payment Card Industry [PCI], Health Insurance Portability and Accountability Act [HIPAA] etc.).
Executive Leadership : Serve as a trusted technical advisor to the Chief Operation Officer and the leadership team. Ability to communicate technical vision clearly to, Research, Science, R&D and non-technical stakeholders.
Qualifications :
10 years of progressive engineering leadership experience in large, matrixed organizations with non-profit, medical or research-intensive environments.
3 years as a senior tech leader in the data, development, research or academic related industry.
Proven experience leading and scaling engineering teams.
Expertise in building scalable, distributed systems and modern cloud infrastructure (AWS / Azure / OCI / GCP).
Strong familiarity with modern development frameworks, CI / CD, microservices, and data architectures.
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