Master Data Manager

Experience

• 7+ years of overall experience in data management / MDM / data architecture
• 5+ years of hands-on Master Data Management experience
• Strong experience with Informatica MDM or another leading MDM platform
• Experience assessing MDM architecture, data quality, integration and operating models
• Profisee experience is desirable but not mandatory

Required Technical Experience

Mandatory:

• Strong experience with Informatica MDM or another enterprise MDM platform
• Strong understanding of MDM architecture and implementation patterns
• Experience with matching, merging, survivorship and golden-record concepts
• Strong understanding of data quality and data governance
• Experience reviewing enterprise integration architectures and data flows
• Experience with data migration, reconciliation and validation
• Experience assessing MDM operating models and stewardship processes
• Ability to analyse complex MDM implementations and identify root causes of business/data issues

Desirable:

• Profisee experience
• Azure / Microsoft Fabric / Microsoft Purview
• API and integration architecture
• SAP, Salesforce, Oracle or other enterprise source/consumer systems
• Experience with MDM health checks or independent implementation reviews
• Experience in retail, FMCG, hospitality or multi-site organisations

Key Responsibilities

1. Business & Current-State Assessment

• Understand the business processes dependent on master data
• Document current challenges, business impacts and manual workarounds
• Understand how master data is created, maintained, approved and consumed
• Identify key business and technology stakeholders
• Assess current data ownership, stewardship and governance arrangements

2. MDM Architecture Assessment

• Review the overall MDM architecture and solution design
• Assess the alignment between business requirements and the existing MDM implementation
• Identify unnecessary complexity, duplication or over-engineering
• Assess MDM patterns including - Master data domains, Golden records, Matching and deduplication, Survivorship, Hierarchies, Data stewardship, Data governance
• Assess whether the current solution is aligned to MDM best practices

3. Integration & Data Flow Assessment

• Review the end-to-end data flow between source systems, MDM and downstream applications
• Analyse how master-data changes propagate through the organisation
• Identify potential causes of incorrect downstream updates
• Review integration patterns, interfaces, APIs, batch processes and event-driven processes
• Assess data ownership and system-of-record responsibilities
• Review reconciliation, monitoring, error handling and exception-management processes
• Identify control gaps contributing to downstream business issues

4. Data Quality & Migration Assessment

• Assess the quality and integrity of data migrated into the MDM platform
• Review migration methodology, reconciliation and validation controls
• Identify potential gaps in data profiling and cleansing
• Review DQ rules, thresholds and exception processes
• Determine whether current DQ controls are overly restrictive relative to business requirements
• Recommend a pragmatic approach to data-quality management

5. MDM Operating Model

• Assess the current MDM support and operating model
• Review roles and responsibilities across business, IT, data stewards and support teams
• Assess governance and decision-making processes
• Review incident and problem-management processes
• Identify opportunities to improve operational ownership and accountability