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:

- Robust 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

📌 MDM Consultant Architect (Mumbai)
🏢 BDO India
📍 Mumbai