Data Management Lead Manager
Ernst & Young LLP ( EY India )
Work from Office
Full Time
Min. 10 yearsJob Description
Data Management Lead - Manager
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Data Management Lead Consultant
Lead the design and implementation of data platforms and data management capabilities supporting large-scale transformation programs.
KEY RESPONSIBILITIES
Data Architecture
- Define logical and physical data architecture including data models, domains, and lifecycle flows
- Establish architecture standards for ingestion, storage, transformation, and consumption across cloud and hybrid platforms
- Ensure alignment with application, integration, and analytics architectures.
Data Integration & Interoperability
- Define and standardize data integration patterns (batch, CDC, streaming, API)
- Enable scalable and efficient data movement across enterprise systems
Master & Reference Data Management
- Design and implement master and reference data solutions across core domains (e.g., customer, product, supplier)
- Define matching, survivorship, and hierarchy management rules for consistent entity resolution
- Enable integration of master and reference data across enterprise systems and data platforms
- Support implementation of MDM tools and frameworks aligned to platform architecture
Stakeholder Management
- Act as lead for data management workstreams both within programs and independently.
- Collaborate with business, technology, and governance stakeholders.
- Support solution design decisions, tool evaluation, and implementation guidance.
KEY QUALIFICATIONS
- 10+ years of experience in data management, data architecture, or enterprise data platforms.
- Experience implementing master data and reference data solutions using tools such as Informatica MDM, SAP MDG, or similar
- Strong experience with cloud platforms (Azure/AWS/GCP) and modern data architectures (Databricks/Snowflake).
- Solid understanding of data modeling and data lifecycle management.
- Experience working in large-scale, multi-stakeholder delivery environments.
- Exposure to industry data models (financial services, energy & utilities preferred).
International travel in the region (up to 40%) is required.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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