MDM Architect- Data Governance

Responsibilities

• You will be part of the Data Governance team working on Data Strategy, Master Data Management, Data Quality, and Metadata management
• Lead the end-to-end design, architecture, and implementation of MDM solutions
• Define and implement Master Data Governance processes including data quality, data stewardship, metadata management, and business ownership.
• Collaborate with business and IT stakeholders to define MDM requirements and translate them into scalable, high-performance technical solutions.
• Design data models and hierarchies for Customer, Product, Vendor, and other master domains.
• Develop and operationalize Data Governance frameworks aligned to business and compliance needs.
• Enable data stewardship workflows, match & merge rules, and exception management.
• Integrate MDM systems with upstream and downstream applications across the enterprise.
• Lead workshops and training sessions on MDM and Data Governance for client teams.
• Support RFPs, proposals, and client presentations with MDM/DG expertise
• Assess, validate and implement MDM architecture for

  on-prem, cloud and hybrid

  environments with expertise in MDM solutions like

  Oracle MDM solutions (ERP, CDH, CDM)

  ,

  SAP MDG(S4/Hana, ERP), Informatica IDMC

  and other modern MDM solutions.

• Develop integration frameworks for legacy and on-premise systems using Oracle GoldenGate, Informatica CDI/CAI, MuleSoft or other integration tools.

• Collaborate with stakeholders to define and implement

  MDM strategies, standards, and operating models

  .
• Develop and enforce

  end-to-end master data lifecycle processes

  including data onboarding, mastering, match & merge logic, survivorship rules, and downstream data syndication.
• Collaborate with clients to understand their business objectives and data challenges and develop comprehensive data governance strategies aligned with their specific needs.
• Support leadership in designing thought leadership, publish POV s/Articles/Blogs, establishing data governance policies, procedures, and frameworks that ensure the effective management, privacy, and security of data assets.

Good to Have

• Hands-on implementation experience with on-prem

  MDM

  and

  ERP systems such as Oracle ERP, Oracle CDH/CDM, SAP MDG

  ,

  SAP S4/HANA, Reltio, Stibo

  or hybrid deployments with other modern MDM, ERP and CRM platforms.
• Strong knowledge of

  reference data management

  and

  data stewardship workflows

  .
• Experience with

  ETL/ELT tools

  and integration platforms (Oracle ODI, GodenGate, MuleSoft, Informatica PowerCenter, etc.).
• Familiarity with

  data governance tools

  (e.g., Collibra, Alation, Informatica CDGC, etc.) and

  DQ tools

  (e.g., Informatica IDQ, CDQ, etc.).
• Basic understanding of data governance best practices, data quality management, data privacy regulations
• Familiarity with Agentic AI, machine learning, and analytics technologies
• Knowledge of SQL, PL/SQl, Python, or any other database

• Excellent communication and interpersonal skills

  to collaborate effectively with clients and internal teams.