EY - GDS Consulting - AI And DATA - Semantic BI - 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.

EY-Consulting - Data and Analytics - Semantic BI Engineer – 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 : Semantic BI Engineer Experience Guide : Guide / 7-12 years Primary Skill Area : Semantic Analytics, Self-Service BI, Dashboards, AI-Enabled Insights & Decision Intelligence The opportunity Design, build and advise on enterprise BI and semantic analytics solutions that convert trusted data into actionable business insights. This role is not limited to dashboard development; the candidate must be able to assess business needs, propose the right dashboarding or self-service reporting tools, design semantic data layers, build high-quality dashboards, and enable next-generation AI-assisted analytics experiences. The role combines analytics engineering, semantic layer design, dashboard architecture, BI strategy, data storytelling, data modelling, AI enablement and strong business analysis capability.

Your Key Responsibilities

• BI Strategy, Tool Evaluation & Solution Advisory
• Assess business reporting, analytics and self-service consumption needs across user personas, maturity levels, governance requirements and operating constraints.
• Evaluate and recommend the right BI, dashboarding and self-service reporting tools based on scalability, semantic layer fit, governance, cost, user adoption, integration capability and AI-readiness.
• Shape enterprise BI and analytics roadmaps across Power BI, Microsoft Fabric, Tableau, ThoughtSpot, Qlik, Databricks AI/BI, Snowflake Cortex Analyst and other modern analytics platforms.
• Advise stakeholders on when to use operational reporting, executive dashboards, self-service analytics, semantic search, conversational BI, embedded analytics or AI-assisted insight discovery.
• Semantic Layer & Analytics Engineering
• Design semantic data layers that separate business logic from physical data structures and allow consistent consumption across dashboards, reporting tools, AI assistants and self-service analytics platforms.
• Define governed business metrics, KPIs, measures, dimensions, hierarchies, calculations, data definitions and reusable analytical entities.
• Develop analytics engineering assets using SQL, dbt-style transformation patterns, Fabric semantic models, Power BI datasets, lakehouse/warehouse tables and curated analytical data products.
• Align semantic models with business glossaries, metadata, lineage, data quality rules, access controls and enterprise governance standards.
• Dashboard Development, Architecture & Data Storytelling
• Design and develop high-quality dashboards, scorecards and analytical reports that support executive decisions, operational monitoring, root-cause analysis and business performance tracking.
• Apply dashboard design principles including KPI hierarchy, drill-through, guided navigation, narrative flow, visual consistency, usability, accessibility and performance optimisation.
• Build dashboards using tools such as Power BI, Fabric, Tableau, ThoughtSpot, Qlik, Databricks AI/BI, Snowflake Cortex Analyst or equivalent enterprise BI platforms.
• Move beyond visualisation by translating patterns, trends and exceptions into actionable business insights, recommendations and decision support.
• Data Modelling, Data An…