Master Data Management Consultant

Key Responsibilities

1. Data Governance Framework & Strategy

• Define, design, and implement MDM governance frameworks for Account Master Data across multiple enterprise systems of record (ERP, CRM, etc.).
• Establish and document data ownership, stewardship, and accountability models across business units.
• Develop and enforce MDM standards, policies, and procedures to ensure data consistency, accuracy, and reliability.
• Collaborate with business and IT stakeholders to ensure alignment between governance policies and operational needs.

2. Master Data Management Implementation

• Lead and support MDM initiatives related to Account and Customer Master Data, ensuring proper data lifecycle management.
• Define and maintain data definitions, hierarchies, and taxonomies, ensuring harmonization across different systems.
• Work closely with data stewards and system owners to identify, analyze, and resolve data quality issues, conflicts, and duplicates.
• Support integration of MDM solutions with key enterprise systems such as SAP, Oracle, Salesforce, and MS Dynamics.

3. Data Quality & Compliance

• Define and track Data Quality KPIs (DQ KPIs) and establish continuous monitoring, validation, and reporting mechanisms.
• Implement data quality improvement plans and maintain high-quality standards across systems of record.
• Ensure compliance with relevant regulatory and audit requirements (e.g., GDPR, SOX, internal data policies).
• Maintain metadata repositories, ensuring transparency and traceability of key data elements.

4. Tools, Technology, and Governance Operations

• Participate in the evaluation, configuration, and deployment of MDM and data governance tools (e.g., Informatica MDM, Reltio, SAP MDG, IBM Infosphere).
• Ensure that governance controls and approval workflows are embedded within MDM tool configurations.
• Facilitate and manage data governance councils or committees, enabling cross-functional decision-making and alignment.
• Contribute to the documentation of governance processes, standards, and issue-resolution mechanisms.

5. Collaboration & Stakeholder Engagement

• Partner with business leaders, data owners, and IT teams to drive data stewardship awareness and adoption.
• Act as a trusted advisor to guide best practices in master data management and governance maturity.
• Provide insights and reports to leadership on data quality trends, risk areas, and governance performance.

Required Skills & Qualifications

• Experience: Minimum 5+ years in Master Data Management (MDM) and Data Governance within large enterprise environments.

• Technical & Functional Expertise:

• Proven experience implementing MDM frameworks and governance models.

• Hands-on experience with MDM tools such as Informatica MDM, Reltio, SAP MDG, IBM Infosphere, or equivalent.
• Strong understanding of systems of record for Accounts (ERP/CRM platforms such as SAP, Oracle, Salesforce, or MS Dynamics).

• In-depth knowledge of data quality management, metadata management, data lineage, and data stewardship principles.

• Governance & Compliance Knowledge:

• Experience defining and enforcing data standards, ownership, and stewardship models.

• Awareness of data protection and regulatory compliance frameworks (GDPR, SOX, etc.).

• Soft Skills:

• Strong analytical, problem-solving, and communication abilities.

• Excellent stakeholder management and facilitation skills to bridge business and IT perspectives.

Preferred Qualifications

• Experience with cloud-based MDM and data governance platforms (e.g., AWS, Azure, GCP data ecosystems).
• Prior experience in setting up and executing Data Governance Councils.
• Certifications in Data Governance or MDM (e.g., DAMA, DCAM, or Informatica Certified Professional) preferred.
• Exposure to Agile methodologies and enterprise-scale data transformation programs.