
MDM Architect- Data Governance
3 days ago
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 foron-prem, cloud and hybridenvironments with expertise in MDM solutions likeOracle MDM solutions (ERP, CDH, CDM),SAP MDG(S4/Hana, ERP), Informatica IDMCand 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 implementMDM strategies, standards, and operating models.
- Develop and enforceend-to-end master data lifecycle processesincluding 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-premMDMandERP systems such as Oracle ERP, Oracle CDH/CDM, SAP MDG,SAP S4/HANA, Reltio, Stiboor hybrid deployments with other modern MDM, ERP and CRM platforms.
- Strong knowledge ofreference data managementanddata stewardship workflows.
- Experience withETL/ELT toolsand integration platforms (Oracle ODI, GodenGate, MuleSoft, Informatica PowerCenter, etc.).
- Familiarity withdata governance tools(e.g., Collibra, Alation, Informatica CDGC, etc.) andDQ 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 skillsto collaborate effectively with clients and internal teams.
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