Priniciple MDM Architect

Define and lead the enterprise data architecture strategy and roadmap, ensuring alignment with business objectives and digital transformation priorities.

Establish scalable architecture frameworks for Master Data Management, Data Governance, Data Quality, Metadata Management and Reference Data Management.

Develop target-state data architecture, architectural standards, design principles and implementation best practices.

Lead the organisation's MDM strategy and serve as the primary subject matter expert and architect for enterprise MDM solutions.

Design and implement master data solutions across customer, product, vendor, supplier and reference data domains.

Establish single-source-of-truth and golden-record strategies, defining matching, merging, survivorship, hierarchy management and data stewardship processes.

Lead MDM platform evaluation, selection, implementation and optimisation initiatives.

Define and implement AI-driven MDM capabilities using Generative AI, Machine Learning and intelligent automation to improve data quality and operational efficiency.

Design AI-assisted data stewardship workflows for data validation, enrichment, classification, exception handling and remediation.

Apply AI models to entity resolution, duplicate detection, record matching and survivorship optimisation across master data domains.

Establish AI governance policies that support transparency, explainability, security and regulatory compliance.

Develop enterprise data governance frameworks, policies, standards and operating models, working with business stakeholders to establish data ownership and accountability.

Lead data quality initiatives, including profiling, monitoring, remediation and continuous improvement, ensuring data consistency, accuracy and auditability.

Promote the adoption of data governance and stewardship practices across business units.

Collaborate with business and data stewards to implement GenAI-powered capabilities for identifying data issues, generating business rules, enabling natural language queries, enriching metadata and onboarding new data sources.

Design end-to-end integration architectures across ERP, CRM, PLM, supply chain and analytics platforms.

Define integration strategies, APIs, services, data exchange patterns and event-driven architectures in collaboration with application teams.

Review and approve technical solution designs for strategic enterprise initiatives, providing architectural oversight across MDM projects.

Evaluate emerging data technologies and industry trends, establishing standards that balance innovation, scalability, maintainability and operational support.

Partner with executive leadership, business stakeholders, data stewards and technology teams to translate business requirements into scalable architectural solutions.

Present architecture roadmaps and recommendations to senior leadership and act as an escalation point for critical data and architecture issues.

Lead and mentor architects, developers, analysts and data engineers, supporting technical standards, project planning, resource allocation and delivery governance.