Teams at Komodo Health

Leads client-facing AI engagements for life sciences organizations, from scoping and pilot design through delivery. Advises senior stakeholders, manages 3–5 concurrent engagements, coordinates product, data science, and analytics teams, supports presales and renewals, identifies account growth opportunities, and develops repeatable engagement frameworks. The role requires management consulting experience, life sciences expertise, AI or digital transformation pilot delivery, strong project management, executive presence, and approximately 50% travel.

Designs, builds, operates, and improves large-scale data pipelines and foundational data products supporting healthcare analytics, customer applications, and AI/ML use cases. Responsibilities include transforming healthcare datasets, improving reliability and performance, implementing data quality and observability, debugging production workflows, contributing to architecture and CI/CD, and collaborating across engineering and product teams. The role also involves mentoring, technical design reviews, and production support.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.