Join EY's GDS Consulting team as an AI and Data MS Security Consultant and build a career that's as unique as you are. Leverage global scale, inclusive culture, and cutting-edge technology to become your best self. Your distinct perspective will contribute to EY's continuous growth and help shape a better working world.

EY's Consulting Services offers integrated solutions driven by deep industry expertise and robust technical capabilities. Our Data and Analytics team tackles complex challenges, capitalizing on opportunities to deliver impactful outcomes that safeguard and expand businesses for the future. We champion the integration of analytical practices into core client decision-making processes, creating compelling business cases for data-driven strategies.

Lead the design and implementation of enterprise-scale semantic data platforms for advanced analytics, AI, Knowledge Graphs, and governed data modeling. Develop domain ontologies (RDF/OWL, SKOS) and collaborate with stakeholders to translate business requirements into ontology-driven models. Establish semantic governance, metadata standards, and reusable modeling patterns. Create and maintain enterprise data models (conceptual, logical, physical) aligned with business terminology and various data structures. Design and implement Knowledge Graph solutions for AI, intelligent search, and contextual retrieval, integrating diverse data sources.

Architect semantic solutions using Microsoft Fabric, including Lakehouse, Data Warehouse, and Semantic Models. Design metadata-driven architectures connecting lakehouse products, semantic layers, and AI retrieval. Enable AI and Generative AI solutions through semantic enrichment and ontology-driven knowledge assets. Define enterprise standards, policies, and governance frameworks for ontology management and knowledge graph assets using platforms like Microsoft Purview and Collibra. Provide technical leadership and conduct architecture reviews, mentoring teams on semantic modeling and governed data approaches.

We are seeking candidates with 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Information Management. A minimum of 5 years of hands-on experience in semantic technologies, knowledge modeling, and enterprise data modeling is essential. Proficiency with Microsoft Fabric, semantic models, Power BI semantic layer, conceptual/logical/physical data modeling, RDF/OWL ontology engineering, Knowledge Graph platforms, and governance tools such as Microsoft Purview or Collibra is required.

Ideal candidates possess an architect's mindset, adept at connecting business concepts with data models and AI-ready knowledge structures. Strong stakeholder engagement skills are crucial for collaborating across business SMEs, data architects, data engineers, AI engineers, and governance teams. Experience in defining semantic standards, ontology governance, knowledge graph design patterns, and enterprise data modeling practices is highly valued. The ability to create explainable, lineage-aware, and governed semantic foundations for analytics, GraphRAG, enterprise search, and AI-enabled decision support is key. Domain experience in Wealth and Asset Management is a plus.