Experience

- 7+ years of overall experience in data management, MDM, data architecture

- 5+ years of hands-on Master Data Management experience

- Robust hands-on experience with Profisee MDM is mandatory

- Prior experience reviewing, troubleshooting, stabilising or optimising an existing Profisee implementation is highly desirable

Required Technical Experience

Mandatory:

- Hands-on Profisee implementation experience

- Experience configuring and troubleshooting Profisee

- Strong understanding of Profisee architecture and implementation patterns

- Experience with Profisee data models, matching, merging, survivorship and workflows

- Experience analysing Profisee integrations and downstream data flows

- Strong understanding of MDM data quality and governance

- Experience working with complex enterprise integration landscapes

Desirable:

- Azure / Microsoft Fabric / Microsoft Purview experience

- Experience with APIs and integration platforms

- Experience with ERP/CRM environments such as SAP, Salesforce, Oracle or similar

- Experience with data stewardship and operating-model design

- Experience conducting MDM health checks, architecture reviews or implementation assessments

Key Responsibilities The successful candidate will:

1. Current-State Assessment

- Review the existing Profisee implementation, architecture and configuration

- Understand the current MDM operating model, business processes and ownership

- Document key challenges, impacted business processes and manual workarounds

- Review how master data is created, changed, approved, mastered and distributed

- Assess the current roles and responsibilities across business, data stewardship, technology and support teams

2.

Profisee Implementation

Review





- Assess whether the Profisee implementation is appropriately designed for the organisation's business requirements

- Identify areas of unnecessary complexity, over-engineering or configuration that may be contributing to operational issues

- Review Profisee data models, entities, attributes, relationships and hierarchies

- Review matching, merging and survivorship configuration

- Review workflows, stewardship processes, validation rules and business rules

- Assess whether configuration follows Profisee implementation best practices

- Identify configuration/design issues that may impact data quality or downstream processing

3. Integration & Data Flow Review

- Review the end-to-end integration architecture surrounding Profisee

- Trace critical data flows from source systems through Profisee to downstream applications

- Investigate issues associated with incorrect or unexpected data updates reaching downstream systems

- Assess interfaces, APIs, integration services, event/batch mechanisms and transformation logic

- Identify potential issues around data ownership, change propagation, sequencing, dependencies and error handling

- Assess monitoring, reconciliation, exception handling and support processes

- Recommend improvements to integration patterns and controls

4. Data Migration & Data Quality Assessment

- Assess the approach used to migrate data into Profisee

- Evaluate the organisation's confidence in migrated master data

- Identify gaps in reconciliation, validation and data-quality controls

- Review DQ rules, thresholds and validation logic

- Assess whether current DQ controls are overly restrictive or generating unnecessary operational effort

- Recommend a pragmatic approach to balancing data quality, business usability and operational efficiency

📌 Profisee - MDM Architect (Mumbai)
🏢 BDO India
📍 Mumbai