Profisee SME / MDM Architect

About Company:

BDO is a global network of professional services firms with a presence in over 166 countries, revenue of over USD 14 billion, and experience of over 60 years. Its a leading service provider for the mid-markets with client service at its heart.

BDO India Services Private Limited (or BDO India) is the India member firm of BDO International. BDO India offers strategic, operational, accounting and tax, and regulatory advisory & assistance for both domestic and international organizations across a range of industries. BDO India is led by more than 300+ Partners & Directors with a team of over 10,000 professionals operating across 14 cities and 20 offices. We expect to grow sizably in the coming 3-5 years, adding various dimensions to our business and multiplying and increasing the current team size multi-fold.

Experience

• 7+ years of overall experience in data management, MDM, data architecture
• 5+ years of hands-on Master Data Management experience
• Strong hands-on experience with Profisee MDM is mandatory
• Prior experience reviewing, troubleshooting, stabilising or optimizing 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