MDM Program Architect

About the role We are seeking a seasoned MDM Program Architect to lead the design and delivery of our enterprise Master Data Management strategy. You will define the architectural blueprint for master data domains including customer, product, supplier, and employee and partner with business and technology stakeholders to drive trusted, governed, and reusable data assets at scale. This is a high-visibility role at the intersection of data governance, enterprise architecture, and digital transformation. Key responsibilities Define and own the enterprise MDM architecture, covering hub strategy, data model design, identity resolution, and golden record management across domains. Lead the end-to-end MDM program from business case and roadmap through implementation, adoption, and continuous improvement in close collaboration with data governance, integration, and platform teams. Evaluate, select, and guide implementation of MDM platforms (e.g., Informatica MDM, Reltio, Stibo STEP, SAP MDG, Semarchy) and supporting tooling. Establish and enforce data stewardship models, data quality KPIs, and governance policies to sustain long-term MDM health and compliance. Partner with ERP, CRM, and analytics teams to align MDM with enterprise data flows, ensuring consistency across source systems and consuming applications. Mentor architects and data engineers, fostering a center of excellence for MDM practices across the organization. Communicate architecture decisions, trade-offs, and program status clearly to executive and non-technical stakeholders. Required 12+ years in data architecture or data management, with at least 5 years dedicated to MDM programs. Hands-on experience architecting MDM solutions across multiple domains (customer, product, supplier, or location). Deep knowledge of MDM styles (registry, consolidation, coexistence, centralized) and when to apply each. Strong background in data modeling, entity resolution, data quality, and data governance frameworks (DAMA, DCAM). Experience with cloud-native data platforms (AWS, Azure, or GCP) and integration patterns (REST, event-driven, ETL/ELT).Proven ability to lead large cross-functional programs in complex enterprise environments. Preferred Certification in TOGAF, Zachman, or equivalent enterprise architecture framework. Experience with data mesh, data fabric, or federated governance models. Familiarity with regulatory and compliance requirements (GDPR, CCPA) as they relate to master data. Graduate degree in Computer Science, Information Systems, or related field. Prior experience in industries with complex master data needs retail, manufacturing, pharma, or financial services.