Note: The job is a remote job and is open to candidates in USA. N2P Systems is seeking an experienced Profisee Consultant to lead a comprehensive master data management engagement focused on environment stabilization, pipeline automation, and AI-assisted product master data goldenization. The consultant will configure Profisee environments, workflows, matching and survivorship rules, Snowflake integration, and approval processes while training an internal Data Engineer and delivering documentation for ongoing platform operation.
Responsibilities
- Review the current Profisee dev environment, data model, and enrichment pipeline
- Identify and resolve known configuration issues and process quirks
- Assess data quality across loaded product data (multiple source ERPs) and flag remediation items
- Evaluate available AI-assisted capabilities across pipeline automation and goldenization
- Recommend configuration changes and best practices
- Configure and validate three environments (Dev, Staging, Production) with a defined promotion workflow
- Define environment-specific roles, permissions, and access controls
- Implement QA gates and validation rules within Profisee
- Configure source system identifiers to track record origin across multiple ERPs
- Configure and optimize Profisee's pipeline catalogue to streamline data processing and increase throughput
- Build automated workflows for ingestion, validation, enrichment, and approval routing
- Implement AI-assisted automation (e.g., automated classification, attribute suggestion, anomaly detection) where it adds measurable value
- Establish monitoring and alerting for pipeline health and processing status
- Document pipeline configurations, workflow logic, and automation rules
- Configure matching and merge rules (match, merge, survivorship) for product goldenization
- Implement AI-assisted goldenization capabilities including fuzzy matching, confidence scoring, and automated merge recommendations
- Design the framework to extend goldenization into vendor/supplier and customer domains
- Configure business approval workflows for golden records
- Validate golden record output and integration with a downstream Snowflake environment
- Document goldenization rules and decision logic
- Train an internal Data Engineer on Profisee administration, environment management, and troubleshooting
- Train the internal team on pipeline catalogue configuration and workflow automation
- Train the internal team on goldenization logic, matching/merge rules, and AI features
- Deliver comprehensive documentation and conduct structured handoff sessions
Skills
- Proven hands-on experience implementing and administering Profisee MDM, including multi-environment setups and promotion workflows
- Strong experience with match/merge/survivorship configuration for goldenization (ideally product domain; vendor/customer domain experience a plus)
- Experience with Profisee's pipeline catalogue and workflow automation features
- Familiarity with AI-assisted MDM capabilities (fuzzy matching, confidence scoring, automated classification/anomaly detection)
- Experience integrating MDM outputs with downstream platforms, particularly Snowflake
- Experience working with multi-ERP source data and source system identifier tracking
- Strong documentation skills and prior experience delivering formal knowledge transfer/training to internal teams
- Ability to work independently in a remote, US-based engagement
- Experience with data governance frameworks alongside MDM implementations
- Background in product data management specifically (PIM-adjacent experience)
- Prior consulting/client-facing delivery experience
Benefits
- Remote, US-based engagement
- Training an internal Data Engineer on Profisee administration, environment management, and troubleshooting
- Training the internal team on pipeline catalogue configuration and workflow automation
- Training the internal team on goldenization logic, matching/merge rules, and AI features
- Comprehensive documentation and structured handoff sessions
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