ShortlistFox
← Back to results

EYP-DnA-Manager

EY

Bengaluru, KA, IN

Apply

About the role

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. 

 

 

 

 

Manager – Data Engineering & AI

Data and Analytics team is a multi-disciplinary technology and strategy team delivering client projects and solutions across Data Management, Visualization, Business Analytics, AI/ML and Automation. The assignments cover a wide range of countries and industry sectors.

 

The opportunity

We are looking for a Manager – Data Engineering & AI. The main purpose of the role is to support cloud and on-prem platform analytics, data engineering and AI-readiness projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, strategy consultants, product and business subject matter experts (SMEs), data scientists, back-end developers and other solution architects and is also onshore facing.

This role will be instrumental in designing, developing, and evolving modern data warehousing solutions, AI-ready data platforms, and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up / data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics and AI-consumable data assets.

 

Discipline

Information Management & Analysis

 

Role Type

Data Architecture, Engineering & AI Enablement

 

A Data Architect & Engineer at EY: Uses agreed-upon methods, processes and technologies to design, build and operate scalable on-premises or cloud data architecture and modelling solutions that facilitate data storage, integration, management, validation and security, supporting the entire data asset lifecycle. Designs, builds and operates data integration solutions that optimize data flows by consolidating disparate data from multiple sources into a single solution. Prepares and structures data to be AI-ready — enabling downstream ML/AI model training, inference, and GenAI applications. Works with other Information Management & Analysis professionals, the program team, management and stakeholders to design and build analytics and AI-enabling solutions in a way that will deliver business value.

 

Skills

Core: Cloud Computing, Computational Thinking and Programming, Data Architecture Design and Modelling, Data Fabric, Data Integration, Data Quality, Data Security, Database Management, Enterprise Data Management, Semantic Layer, Solution Architecture Design

AI & Data Readiness: Ontology design and knowledge graph modeling, graph databases (Neo4j, Amazon Neptune, Azure Cosmos DB Gremlin), Graph RAG concepts, RAG architecture fundamentals, embedding generation and vector store management (Pinecone, Weaviate, Azure AI Search), feature store design and management (Feast, Databricks Feature Store), semantic layer design for AI consumption, data cataloging and metadata management for AI discoverability

AI-Augmented Pipelines: AI-assisted/AI-generated data pipeline creation, agentic orchestration of data pipelines, autonomous and self-healing pipelines, autonomous data quality monitoring and anomaly detection

Foundational AI Literacy: Understanding of LLM data requirements and token economics, data governance for AI (lineage, bias detection, data provenance), structured vs. unstructured data preparation for AI workloads

Strategy & Advisory: Hypothesis-driven problem solving, stakeholder communication and storytelling with data, use-case identification and prioritization, current-state / future-state assessments, industry benchmarking, RFP / vendor evaluation support, business requirements translation, workstream management on strategy engagements

Soft Skills: Client Handling & Communication, Problem Solving / Critical Thinking, Systems Thinking, Interest and Passion for Technology, Adaptability / Agility, Analytical Thinking, Collaboration

 

Your key responsibilities

  • Evaluating and selecting data warehousing and AI-enablement tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements
  • Strong working knowledge across the technology stack, including ETL, ELT, data analysis, metadata, data quality, audit and design
  • Design, develop, and test in ETL tool environment (GUI/canvas steered tools to create workflows)
  • Design and build AI-ready data pipelines — including agentic orchestration, autonomous quality monitoring, and self-healing capabilities
  • Implement ontology designs, knowledge graphs, and graph database solutions to support Graph RAG and advanced analytics use cases
  • Build and manage feature stores, embedding pipelines, and vector stores to enable AI/ML workloads
  • Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.)
  • Provides technical guidance to a team of data warehouse, business intelligence and AI-enablement developers
  • Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, AI data readiness, privacy, and security
  • Conduct Data & AI maturity assessments as part of strategic engagements and translate findings into actionable roadmaps
  • Adhere to ETL/Data Warehouse development best practices
  • Responsible for data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud (MS Azure/AWS/GCP)
  • Assisting the team with performance tuning for ETL and database processes

 

Skills and attributes for success

  • Minimum of 9 years of total experience with 6+ years in Data Warehousing / Business Intelligence field
  • Solid hands-on 6+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse
  • Strong knowledge of data architecture for staging and reporting schemas, data models and cutover strategies using industry standard tools and technologies
  • Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP)
  • Minimum 3+ years' experience in Azure database offerings (Relational, NoSQL, Data Warehouse)
  • 2+ years hands-on experience in various Azure services – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks
  • Minimum of 3 years of hands-on database design, modelling and integration experience with relational data sources such as SQL Server, Oracle/MySQL, Azure SQL and Azure Synapse
  • Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.)
  • Hands-on or strong working knowledge of ontology design, graph databases, and knowledge graph modeling
  • Working knowledge of RAG architectures, vector databases/embedding stores, and feature store concepts
  • Experience building AI-assisted/agentic data pipelines or strong familiarity with autonomous orchestration frameworks
  • Strong creative instincts related to data analysis and visualization
  • Curiosity to learn the business methodology, data model and user personas
  • Strong understanding of BI and DWH best practices, analysis, visualization and latest trends
  • Experience with the software development life cycle (SDLC) and rules of product development such as installation, upgrade and namespace management
  • Willingness to mentor team members
  • Solid analytical, technical and problem-solving skills
  • Excellent written and verbal communication skills

 

To qualify for the role, you must have

  • Bachelor's or equivalent degree in Computer Science, or related field, required. Advanced degree or equivalent business experience preferred
  • Fact driven and analytically minded with excellent attention to details
  • Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analyzing large volumes of data
  • Experience preparing data for AI/ML consumption — including data labeling strategies, training data curation, and structured/unstructured data readiness
  • Demonstrated ability in hypothesis-driven problem solving and translating business requirements into data/technical specifications
  • Relevant work experience of minimum 10 to 12 years in a Big 4 or technology / consulting set up

 

Ideally, you'll also have

  • Ability to think strategically/end-to-end with result-oriented mindset
  • Ability to build rapport within the firm and win the trust of the clients
  • Willingness to travel extensively and to work on client sites / practice office locations
  • Exposure to Graph RAG, LangChain/LlamaIndex, and agentic AI frameworks for data orchestration
  • Experience with RFP / vendor evaluations for data and AI platforms
  • Experience with industry benchmarking and current-state / future-state data landscape assessments

 

What we look for

  • A team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
  • An opportunity to be a part of market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide
  • Opportunities to work with EY SaT practices globally with leading businesses across a range of industries

 

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.

 

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.