Job Title:  Technology & Transformation | EAID | Engineering | Master Data Management (MDM) | Associate Directo

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Learn more about Analytics and Information Management Practice

 MDM Architecture & Strategy

• Strong experience designing end-to-end enterprise MDM solutions

• Deep understanding of MDM styles: registry, consolidation, coexistence, centralized

• Ability to define multi-domain MDM strategy (Customer, Product, Vendor, Reference Data)

• Expertise in enterprise data modeling (conceptual, logical, physical)

• Ability to define golden record strategy, survivorship, and identity resolution

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End-to-End MDM Flow

• Strong understanding of complete MDM lifecycle:

o Source onboarding

o Data ingestion (batch/real-time)

o Staging and standardization

o Matching, merging, survivorship

o Hierarchy management

o Distribution to downstream systems

• Experience designing multi-source ingestion and crosswalk/id mapping strategies

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Data Governance

• Ability to design and implement enterprise data governance frameworks

• Experience defining:

o Data ownership (data owners, stewards)

o Governance operating model and RACI

o Data policies, standards, and controls

• Experience designing data stewardship workflows and approval processes

• Understanding of metadata management, lineage, and auditability

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Data Quality

• Strong experience in defining data quality frameworks:

o Profiling

o Validation rules

o Standardization and cleansing

o Enrichment processes

• Ability to define data quality KPIs, scorecards, and monitoring frameworks

• Experience integrating DQ processes within MDM lifecycle

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Integration & Ecosystem Architecture

• Strong experience designing integration patterns:

o Batch, real-time, event-driven

o API-led integrations

• Ability to integrate MDM with:

o ERP, CRM, legacy systems

o Data lakes / data platforms

• Experience with microservices/API-first architectures

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Performance & Scalability

• Ability to design for high-volume, enterprise-scale data environments

• Experience defining performance optimization strategies (match, load, integration)

• Knowledge of scalability, availability, and resilience patterns

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Delivery & Leadership

• Ability to lead end-to-end MDM programs (strategy → implementation → adoption)

• Experience in client workshops, requirements, and solution design discussions

• Strong stakeholder management across Business, IT, Data Governance teams

• Experience mentoring teams and driving best practices

Education - B. Tech / M. Tech; B.E / M.E; B.Sc. / M.Sc.; B. Com / M.com; MBA/PGDM; BCA/MCA; PHD