• Define and lead the corporate Master Data Management strategy, ensuring its alignment with the Data & AI strategy, the Data Governance model, enterprise architecture, end-to-end processes, and business priorities.
• Design, implement, and evolve the MDM operational model, including master data domains, ownership and stewardship principles, roles and responsibilities, governance rules, escalation mechanisms, committees, and decision forums.
• Establish corporate standards for the definition, maintenance, and consumption of master data, including common models, hierarchies, taxonomies, glossaries, critical attributes, quality rules, usage criteria, and functional traceability.
• Lead the implementation and evolution of MDM platforms, processes, workflows, and capabilities, ensuring their integration with ERPs, transactional systems, analytical platforms, corporate reporting, and other critical applications.
• Coordinate with business, technology, architecture, process, and corporate function areas to identify, prioritize, and resolve inconsistencies, duplicates, information gaps, and structural problems associated with critical master data.
• Ensure the quality, consistency, lineage, traceability, control, and governance of the master data lifecycle, from creation and modification to validation, publication, archiving, or retirement.
• Drive the adoption of MDM standards in strategic projects, migrations, integrations, transformation initiatives, regulatory reporting, and analytical or artificial intelligence use cases.
• Act as a corporate reference for master data, advising committees, business owners, corporate functions, and technology teams on decisions requiring an integrated, cross-functional, and governed view of data.
• Define, monitor, and communicate performance, quality, adoption, efficiency, and value indicators of MDM, linking the discipline with operational improvement, risk reduction, reporting reliability, and value generation for the business.
• Manage the corporate MDM evolution roadmap, prioritizing domains, capabilities, improvements, and initiatives based on impact, criticality, technological dependencies, risks, required effort, and resource availability.
• Promote a corporate culture of responsibility for master data, driving training, communication, support, and effective collaboration with Data Owners, Data Stewards, key users, and technology teams.
• Identify and escalate risks, blockers, dependencies, and relevant decisions to the corresponding governance bodies, ensuring proactive management of issues that may affect operations, reporting, or strategic initiatives.