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EY - GDS Consulting - AIA - Gen AI - Senior Manager

Location:  Chennai
Other locations:  Anywhere in Country
Salary: Competitive
Date:  Jul 2, 2026

Job description

Requisition ID:  1718199

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. 

 

 

 

 

Function: Consulting      

Position: Senior Manager

Department: Technology Consulting, D&A       

Title: AI Architect (GenAI)   

Educational qualification: BTech/Masters/PhD

 

Role Overview

We are seeking a senior Microsoft Fabric Solution Architect to lead the architecture and solutioning of complex enterprise AI & Data use cases on Microsoft Azure, with Microsoft Fabric as the core analytics platform.

This role is designed for a hands-on, deeply technical architect who can operate across presales, solution design, and delivery guidance, and who excels at translating business problems into scalable, production-grade AI & Data architectures. The successful candidate will possess deep expertise in Data Product architecture and implementation, enterprise data modeling, and the design of scalable, business-aligned data platforms that enable analytics, AI, and self-service consumption.

The Solution Architect will play a critical role in client engagements, presales motions, and large-scale transformation programs, shaping platform strategies and defining end-to-end architectures that solve real-world business problems.

 


What You’ll Do

1. Solution Complex AI & Data Problems for Enterprise Clients

  • Engage with senior business, data, and technology stakeholders to understand complex AI & Data requirements
  • Lead solution discovery and architecture definition for ambiguous, high-impact problem statements
  • Translate business objectives into clear, executable AI & Data platform architectures
  • Own architectural outcomes from problem definition through design sign-off

2. Architect End-to-End Microsoft Fabric & Azure Platforms

  • Design enterprise-scale architectures using:
    • Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Power BI)
    • Azure Data Factory (ADF) for ingestion and orchestration
    • Azure Synapse, Spark, and Notebooks
  • Define enterprise data platform patterns, including:
    • Bronze, Silver, and Gold data layers
    • Data modeling and semantic layer design for analytics and BI
  • Define and implement Data Product architectures aligned to business domains, ensuring clear ownership, discoverability, governance, quality, and reusable consumption patterns.
  •  Lead enterprise data modeling initiatives, including conceptual, logical, and physical data models, supporting analytics, reporting, AI, and cross-domain integration requirements.
  • Design domain-oriented Data Products using Microsoft Fabric, enabling scalable self-service analytics, governed data sharing, and business value realization.

 

  • Ensure architectures meet scalability, performance, reliability, cost, and security requirements
  • Align solutions with enterprise cloud, data governance, and compliance standards

3. Enable AI, Advanced Analytics & GenAI Use Cases

  • Architect AI-enabled analytics platforms using:
    • Azure AI Services
    • Azure OpenAI / GenAI capabilities
  • Design architectures that support:
    • Intelligent insights and advanced analytics
    • AI-augmented BI and decision-support systems
    • Responsible and secure GenAI adoption
  • Balance key trade-offs across cost, latency, security, and scalability

4. Presales, Solution Shaping & Client Advisory

  • Lead and contribute to presales and solution-shaping activities, including:
    • Client discovery and architecture workshops
    • End-to-end solution design and approach definition
    • RFP / proposal responses and technical storytelling
    • Architecture reviews and estimations
  • Partner with sales and leadership teams to:
    • Define differentiated Microsoft Fabric–based solutions
    • Clearly articulate solution value, architecture, and trade-offs
  • Act as a trusted AI & Data architecture advisor during early-stage client conversations

5. Guide Delivery & Architecture Governance

  • Work closely with delivery and engineering teams to:
    • Validate architecture feasibility
    • Guide key implementation and design decisions
    • Review complex components and integration patterns
  • Ensure architecture consistency across build, deployment, and production
  • Support operational readiness, observability, and support considerations

6. Define Reusable Architecture Assets & Best Practices

  • Create reference architectures, solution blueprints, and reusable design patterns
  • Codify best practices for:
    • Enterprise Microsoft Fabric adoption
    • AI & Data platform modernization
    • Scalable analytics and BI architectures
  • Contribute to EY GDS architecture standards and IP

Core Requirements

Experience

  • 15+ years of experience in data platforms, analytics architecture, or cloud solutions
  • Strong background in Microsoft Azure–based data and analytics architectures
  • Proven experience architecting enterprise-scale AI & Data platforms
  • Proven experience defining and implementing enterprise Data Products and domain-driven data architectures in large-scale data transformation programs

 

  •  Strong experience Data modelling including conceptual, logical, and physical data models, supporting analytics, reporting, AI, and cross-domain integration requirements

 

  • Experience working in consulting and client-facing environments
  • Strong presales and solution-shaping experience (mandatory)

Technical Expertise – Microsoft Fabric & Azure

  • Deep expertise in:
    • Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Power BI)
    • Azure Data Factory (ETL / ELT architecture)
    • Azure Synapse Analytics
    • Spark and Notebooks
  • Strong understanding of:
    • Enterprise Data Modelling (Conceptual, Logical, Physical)
    • Dimensional Modelling and analytical data structures
    • Semantic Layer design and BI architecture
    • Data Product architecture, implementation, and lifecycle management
    • Enterprise data governance and platform design
  • Hands-on experience with:
    • SQL, PySpark, Python
    • DAX, Power Query

AI, Analytics & GenAI

  • Experience designing AI-enabled analytics architectures
  • Knowledge of:
    • Azure AI services
    • Azure OpenAI and GenAI integration patterns
  • Ability to embed AI responsibly within enterprise data platforms

Architecture & Consulting Skills

  • Ability to operate in complex, multi-stakeholder environments
  • Strong communication and executive-level articulation skills
  • Comfortable leading architecture and solution discussions with senior client leadership
  • Strong balance of business acumen and technical depth

Added Advantage / Preferred Experience

  • Experience working with modern data platforms such as:
    • Databricks
    • Snowflake
  • Ability to compare, position, and architect multi-platform data strategies
  • Exposure to hybrid or multi-cloud analytics environments
  • Experience in large-scale data modernization or AI transformation programs

What This Role Is NOT

  • Not a pure hands-on development role
  • Not a delivery or program management role
  • Not limited to BI reporting or tool configuration
  • Primary ownership is architecture and solutioning, not day-to-day coding

Why Join Us

  • Be at the forefront of AI-driven innovation across multiple client sectors.
  • Work with global clients to drive real business impact.
  • Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

 

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

 

 

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.  

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