VP, Chief Architect

Job Description

Job Description

The  VP, Chief Architect leads IMO’s enterprise architecture function at the intersection of technology, clinical informatics, data, and AI. Reporting directly to the CTO, the Chief Architect sets architectural direction, advances IMO’s platform and knowledge strategy, and helps position IMO’s clinical knowledge assets as scalable foundations for AI and next-generation products. 

The Enterprise Architecture team works closely with Engineering, Informatics, and Product Management to shape solutions, test new approaches, and address complex technical challenges. Rather than serving as a centralized governance or approval function, the team partners directly with delivery teams to reduce uncertainty, enable informed decisions, and accelerate execution. 

Architecture and Technology Strategy

• Define and evolve IMO Health’s enterprise architecture strategy across software, cloud, data, clinical informatics, and AI.
• Establish practical architecture principles and decision frameworks that balance innovation, speed, scalability, reliability, security, and cost.
• Guide significant technology decisions and help Engineering and Product teams make informed architectural tradeoffs.
• Identify emerging technologies and capabilities that can strengthen IMO Health’s platforms and products. 

Platform, Data & Knowledge Architecture

• Shape the enterprise architecture vision and guide the evolution of IMO Health’s technology ecosystem.
• Establish clear platform boundaries, ownership, interfaces, and shared capabilities to reduce duplication, fragmentation, and technical debt.
• Align application, platform, API, data, knowledge graph, integration, security, and cloud architecture.
• Advance the IMO Health Knowledge Graph and related clinical knowledge assets as foundational capabilities for clinical AI and next-generation products.
• Identify opportunities to simplify the technology ecosystem and build reusable capabilities that can be leveraged across products and platforms. 

AI & Technical Innovation

• Define and promote scalable architecture patterns for AI-enabled products and workflows, including knowledge-grounded AI, agentic systems, retrieval, evaluation, observability, and human oversight.
• Work directly with teams on complex technical challenges, including system design, technology evaluation, prototypes, and proofs of concept.
• Validate emerging technologies and approaches before significant investment or roadmap commitments are made.
• Translate architectural direction into practical, reusable solutions and establish a clear path from experimentation to production.  

Architecture Leadership & Partnership

• 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. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.