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.
EY-Consulting - Data and Analytics - Data Modeler -Manager
EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY's financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies.
Within EY's Consulting Practice, Data and Analytics team solves big, complex issues and capitalise on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client's decision-making.
Role : Data Modeler
Experience Guide : 6 to 15 years
Primary Skill Area : Data Architecture & Data Modeling
The opportunity
We are seeking a highly skilled Data Modeler / Data Architect with strong expertise in Enterprise Data Modelling, Data Architecture, Semantic Modelling, Data Governance, and Wealth & Asset Management data domains. The ideal candidate will lead enterprise-scale data modelling and transformation initiatives while collaborating closely with business and technology stakeholders.
The candidate should possess strong experience in logical, physical, and dimensional data modelling, enterprise architecture, data governance, data quality, data lineage, semantic modelling, Ontologies, and either Knowledge Graphs or AI-enabled Data Engineering practices.
Your key responsibilities
Skills and attributes for success
Must Have - Physical Data Modelling, Logical Data Modelling, Dimensional Modelling, Enterprise Architecture, Strong SQL Skills, Erwin or ER/Studio (either one mandatory), CI/CD, Wealth & Asset Management (WAM) Domain Knowledge, Data Governance, Data Lineage, Data Quality, Semantic Modelling, Enterprise Data Warehousing, Data Warehouse Design & Development, Enterprise ETL Architecture, and strong experience in Ontologies, and either Knowledge Graphs or AI skills on data engineering.
Preferred - Conceptual Data Modelling, Oracle SQL Developer Data Modeler, Git, Master Data Management (MDM), Metadata Management, Semantic Layer Design.
To qualify for the role, you must have
6 to 15 years of experience in Data Modelling, Data Architecture, Enterprise Data Warehousing, or Data Engineering.
Strong hands-on expertise in Physical, Logical, and Dimensional Data Modelling.
Proven experience designing enterprise-scale data models and enterprise data warehouse solutions.
Experience using Erwin and/or ER Studio for enterprise data modelling.
Strong SQL and data analysis skills.
Strong understanding of Enterprise Architecture principles and data modelling best practices.
Experience implementing Data Governance, Data Quality, and Data Lineage initiatives.
Prior experience within Wealth & Asset Management, Investment Management, or Capital Markets is highly preferred.
Strong understanding of Semantic Modelling concepts and modern data architecture patterns.
Strong experience in Ontologies, and either Knowledge Graphs or AI skills on data engineering.
Experience working within CI/CD-enabled development environments.
Strong stakeholder management and communication skills.
Experience leading enterprise data transformation initiatives.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
Ideally, you'll also have
Graph Data Modeling, RDF, OWL, SPARQL, GraphRAG, Semantic Search, Enterprise Search, Vector Search, AI Knowledge Retrieval, LLM Grounding, Agentic AI, AI-Ready Data Products, ETL/ELT, APIs, Databricks, Snowflake, KPI Frameworks, Data Storytelling, Insight Generation, Advanced SQL, Business Analysis, AI Observability, Documentation, and Architecture Support.
What we look for
We look for professionals who combine strong hands-on delivery, architecture awareness, stakeholder collaboration, production ownership and a continuous learning mindset.
What working at EY offers
At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies, and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasises high quality and knowledge exchange. Plus, we offer:
Support, coaching and feedback from some of the most engaging colleagues around
Opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that's right for you
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
Job description provided by EY.
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