Regional Master Data Management Manager II

Job Summary

The Regional Master Data Management (MDM) Manager II is a senior-level individual contributor responsible for the governance, quality, integrity, and strategic management of enterprise master data across regional and global business operations.

Responsibilities

• Lead the regional execution of global master data governance strategies, policies, standards, and operating procedures across assigned data domains.
• Partner with global governance teams to define, implement, and continuously improve master data standards, governance frameworks, and stewardship processes that support business objectives.
• Serve as the regional subject matter expert and authority for master data definitions, ownership models, governance practices, and system-of-record strategies.
• Ensure alignment of global and regional master data definitions, business rules, and governance requirements across enterprise transactional systems, MDM platforms, integrations, and analytical environments.
• Establish, maintain, and govern enterprise data standards, including mandatory attributes, naming conventions, reference data usage, validation criteria, deduplication rules, survivorship logic, and field-level quality controls.
• Lead the identification, analysis, root cause investigation, and resolution of complex master data quality issues impacting multiple systems, functions, and business units.
• Monitor data quality metrics, performance indicators, and compliance requirements; identify trends, risks, and improvement opportunities; and drive corrective and preventive actions in partnership with business and IT stakeholders.
• Direct large-scale data remediation, cleansing, conversion, reconciliation, and mass update activities to ensure data integrity, consistency, and operational continuity across enterprise platforms.
• Provide governance reporting, audit support, compliance documentation, and data quality metrics to support regulatory, internal control, and business requirements.
• Collaborate with enterprise architecture, integration, and application teams to design, validate, optimize, and govern master data structures, interfaces, integration scenarios, and data management solutions.
• Provide functional leadership and advanced support for MDM applications, including configuration recommendations, enhancement prioritization, security controls, and process optimization.
• Lead master data readiness assessments and governance activities supporting system implementations, upgrades, acquisitions, digital transformation initiatives, automation efforts, and organizational change programs.
• Validate and approve master data requirements supporting integrations, business process improvements, technology enhancements, and enterprise transformation initiatives.
• Serve as the primary escalation point for critical cross-functional and cross-system master data issues, ensuring timely resolution, risk mitigation, and stakeholder alignment.
• Build and maintain effective partnerships with business data stewards, functional leaders, IT teams, analytics organizations, and global stakeholders to promote governance adoption, data accountability, and enterprise-wide alignment.
• Provide guidance, mentoring, and knowledge sharing to data stewards and business users on MDM tools, governance processes, and master data management best practices.
• Partner with analytics, reporting, and business intelligence teams to ensure trusted, consistent, and governed master data supports enterprise reporting and decision-making.
• Lead continuous improvement initiatives to enhance master data quality, governance maturity, operational effectiveness, controls, documentation, and business outcomes.
• Support and influence enterprise data migration, modernization, transformation, and global rollout initiatives to ensure alignment with long-term data management and governance strategies.
• Participate in governance councils, cross-functional working groups, and strategic initiatives as a recognized master data management subject matter expert.
• Perform other duties and special projects as assigned.

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Data Management, Business, or a related discipline, or an equivalent combination of education and experience.
• 5–8+ years of progressive experience in Master Data Management, Data Governance, Data Quality, Information Management, or related enterprise data disciplines.
• Advanced knowledge of master data management principles, data governance frameworks, data stewardship practices, data lifecycle management, and system-of-record methodologies.
• Demonstrated experience leading complex data quality initiatives, root cause analysis, remediation efforts, and governance improvement projects across multiple systems, business functions, and stakeholders.
• Strong understanding of enterprise data architecture, system integration methodologies, cross-platform data dependencies, and related business processes.
• Hands-on experience supporting and governing ERP, CRM, MDM, and analytical platforms (e.g., SAP, Salesforce, Snowflake, and enterprise data warehouse environments).
• Proven ability to independently analyze, prioritize, and resolve complex business and data issues while exercising sound judgment and managing competing priorities.
• Demonstrated ability to influence stakeholders, facilitate discussions, build consensus, and drive alignment across business and technical teams without direct authority.
• Experience leading cross-functional initiatives and collaborating effectively within complex, global, and matrixed organizational environments.
• Excellent written, verbal, presentation, and stakeholder management skills, including the ability to translate complex technical and data concepts into actionable business recommendations.
• Demonstrated experience serving as a subject matter expert in Master Data Management, Data Governance, Data Quality, or related enterprise data programs.
• Experience developing and implementing governance standards, policies, procedures, controls, metrics, and best practices.
• Experience supporting enterprise transformation initiatives, system implementations, integrations, mergers and acquisitions, or global business rollouts.
• Experience mentoring data stewards, business users, or less experienced team members and promoting adoption of governance and data management best practices.
• Ability to adapt effectively to diverse cultures, global time zones, evolving business priorities, and organizational change.