Lead and develop the Enterprise Architecture team while maintaining high expectations for technical depth and hands-on contribution.
Partner closely with Engineering, Product, Informatics, Data Science, Security, and Infrastructure leaders to connect business priorities with architecture and execution.
Mentor architects and technical leaders and strengthen the broader technical leadership community across IMO Health.
Help teams navigate complex technical tradeoffs, resolve cross-platform challenges, and turn architectural direction into executable plans.
Establish lightweight mechanisms for architecture alignment, decision documentation, knowledge sharing, and reuse without creating unnecessary governance or delivery bottlenecks.
Represent IMO Health’s technical capabilities in select strategic customer and partner engagements involving architecture, integration, data, clinical informatics, and AI.
IMO Health has a clear architecture strategy that connects technology, clinical knowledge, data, AI, and product priorities.
Teams have clear platform ownership and reusable capabilities, enabling faster execution with less duplication and technical debt.
The IMO Knowledge Graph and related clinical knowledge assets become foundational infrastructure for AI and next-generation products.
Architecture is viewed as a trusted technical partner that reduces risk, improves decisions, and accelerates delivery.
15+ years of progressive experience in software, platform, data, informatics, or enterprise architecture, including complex, enterprise-scale systems.
Demonstrated success as a hands-on architect who can move between strategy, system design, prototyping, and implementation guidance.
Experience leading architects and influencing engineering and technical leaders across organizational boundaries.
Deep expertise in modern cloud-native architecture, distributed systems, APIs, data platforms, security, reliability, and software delivery.
Practical experience designing or enabling AI and machine learning capabilities in production, including generative AI architecture.
Strong ability to connect business and product strategy to technology and platform decisions.
Exceptional communication skills with the ability to engage technical leaders, executives, customers, and partners.
Experience in healthcare technology, clinical informatics, terminology, ontologies, interoperability, knowledge graphs, or clinical data platforms.
Experience with knowledge-grounded AI, agentic workflows, retrieval-augmented generation, AI evaluation, and responsible AI.
Experience supporting strategic customer engagements, technical partnerships, and complex enterprise integrations.
Experience operating in regulated environments with sensitive healthcare data.