EY - GDS Consulting - AIA - Agentic AI - Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Career Family: AIA – AGENTIC AI ENGINEER   Technology - Cloud and Data Engineering – Agentic Data Engineer -  Manager Consultant - Health   The opportunity Healthcare is in a moment of reimagination where AI is moving from experiments to live decisions —the next wave will not be won by agentic models that only demo well. It will come from production-grade AI systems that can reason over trusted healthcare data, retrieve the right context, act within governed workflows, explain their outputs, and earn trust across complex payer and provider environments. Our Artificial Intelligence, Data and Engineering team helps healthcare organizations build the data foundation required for agentic systems to operate safely at scale. In this role, you will lead teams that connect healthcare's most critical data domains into governed, AI-ready data products and context layers, giving agents and applications the grounded, trustworthy inputs they need to reason and deliver value. You can expect significant client interaction, hands-on technical leadership, and the opportunity to shape practical, scalable AI solutions for some of the most important payer and provider challenges in healthcare.   Your key responsibilities You will lead multidisciplinary teams that design, engineer, and operate the healthcare data foundation required for production-grade agentic AI. You will translate complex healthcare business, clinical, regulatory, and technical requirements into scalable data architectures, governed AI-ready data products, secure interoperability patterns, and production delivery plans. Working closely with clients and EY teams, you will provide hands-on technical leadership, manage delivery risk, and communicate architecture decisions, tradeoffs, and recommendations to executive, clinical, operational, and technical stakeholders.   Your responsibilities will include:

Lead the design, engineering, and delivery of modern healthcare data platforms that ingest, harmonize, and productize structured, semi-structured, and unstructured data from EHR/EMR, claims, clinical, operational, financial, wearable, and consumer-facing sources. Design governed, AI-ready healthcare data products aligned to payer and provider workflows, including identity, terminology, master data, reference data, semantic/metrics layers, feature stores, and reusable domain data assets. Lead healthcare interoperability and integration workstreams across FHIR, HL7 v2, CDA/CCDA, DICOM, X12 EDI, APIs, event-driven integration, clinical integration engines, and health information exchange patterns. Engineer the agentic AI data foundation, including retrieval pipelines, embedding and indexing strategies, hybrid search, vector-store operations, knowledge graphs, grounding datasets, agent-to-data and agent-to-system access patterns, tool schemas, and governed API contracts. Codify healthcare privacy, security, consent, PHI minimization, provenance, audit logging, lineage, and regulatory controls into data pipelines and platform patterns. Establish data-platform operating discipline, including SLAs/SLOs, data quality, observability, metadata management, DataOps CI/CD, release readiness, and cloud cost discipline. Own delivery accountability across discovery, architecture, build, test, release, run, and hand-off, including quality gates, RACI, risk escalation, engagement economics, and continuous improvement. Coach and manage multidisciplinary teams of data engineers, interoperability engineers, analytics engineers, platform engineers, and AI/MLOps professionals. Build reusable