Manager/Senior Manager - Tech Consulting - Data & AI - Healthcare Solutions Architect - UAE

EY’s AI & Data team is looking for an experienced Healthcare AI & Data Solution Architect to lead the design and delivery of enterprise healthcare data and AI platforms across government and healthcare ecosystems.   This is a senior, client-facing role for someone who can combine healthcare data architecture, interoperability, governance, AI delivery, and regulated solution design to translate strategic objectives into scalable, secure, and production-ready solutions.   Health Information Exchange (HIE) platforms are especially relevant for this role, as HIE enables secure sharing of patient information across different healthcare organisations, clinical systems, and ecosystem stakeholders.   About the role   As a Healthcare AI & Data Solution Architect , you will shape enterprise data platforms, interoperability layers, analytics ecosystems, and AI-enabled solutions for large-scale healthcare transformation programmes.   You will work closely with senior healthcare and government stakeholders, EY delivery teams, cloud specialists, data engineers, cybersecurity experts, and responsible AI teams to design solutions that are secure, scalable, governed, and aligned to regulatory expectations.   Healthcare providers and clinical systems Hospitals, clinics, labs, EHR platforms, clinical workflows, and care delivery ecosystems   Payers, regulators, and public-sector health entities Claims, insurance, pharmacy, regulatory reporting, population health, and national or emirate-level health platforms.   What you’ll do   You will be responsible for shaping and delivering enterprise healthcare data and AI solutions, including: • Leading end-to-end architecture for healthcare data and AI solutions, including lakehouse platforms, data integration layers, and analytics workbenches. • Designing enterprise healthcare data models , interoperability frameworks, and exchange patterns across hospitals, clinics, labs, insurers, and regulators. • Architecting HIE-enabled solutions that support secure data sharing across different EHR and clinical systems. • Defining AI-enabled solutions using ML, GenAI, and agentic AI for use cases such as predictive care, population health, capacity planning, and operational optimisation. • Establishing AI lifecycle, MLOps, and deployment approaches aligned to enterprise, clinical, and regulatory standards. • Developing data governance controls covering data quality, metadata, cataloguing, consent, privacy, residency, security, and usage policies. • Supporting operating model design , CoE setup, and broader data and AI capability building across the healthcare ecosystem. • Acting as a trusted advisor to senior stakeholders on data strategy, AI adoption, solution shaping, and transformation roadmap design.   What we’re looking for   We are looking for a senior architect who can operate beyond strategy and prototypes, with the ability to design healthcare data and AI solutions for real enterprise and regulated environments. The ideal candidate will bring:   • 10–15 years of experience in data, AI, cloud, solution architecture, healthcare technology, or large-scale digital transformation. • Strong exposure to healthcare or public-sector transformation programmes. • Experience designing enterprise-scale data platforms, interoperability layers, integration patterns, and analytics ecosystems. • Track record across end-to-end transformation, from strategy and architecture through to implementation and production delivery. • Ability to communicate complex technical topics clearly to senior healthcare, government, business, and technology stakeholders. • Consulting experience or significant client-facing delivery experience in complex multi-stakeholder environments.   Technical expertise   • Data architecture: lakehouse, distributed data platforms, data mesh, data integration layers, and