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# Senior Data Architect - Infor LN ERP Migration

- **Company:** Intepros Incorporated
- **Location:** Denver, CO, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Business Systems, Data Architecture, Data Cleansing, Data Deduplication, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Migration, Data Warehousing, IT Management, Cloud Services, Microsoft Copilot, Salesforce.Com, Systems Integration, Enterprise Data Management, Sql Optimization, SAP Integration Solutions, Data Strategy, Data Management, Infor
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/964c3073-da07-4f15-915d-c544d858df6b/senior-data-architect-infor-ln-erp-migration

## About the Role

* 10+ years of experience in data architecture, data management, data engineering, or related disciplines.
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 * Hands-on experience with Infor CloudSuite Industrial (LN/Baan), including ERP data structures and migration tools.
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 * Proven experience leading data migration activities through at least one full-cycle ERP implementation and go-live.
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 * Experience managing or providing technical leadership to teams of data analysts.
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 * Strong expertise in data cleansing, data mapping, deduplication, master data management, and reconciliation.
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 * Experience working with CRM platforms such as Salesforce and CRM-to-ERP integrations.
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 * Advanced SQL skills and experience with ETL and data integration technologies.
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 * Strong understanding of data governance, data quality management, and enterprise data architecture.
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 * Excellent communication, problem-solving, and stakeholder management skills.
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 * Ability to take ownership of an ERP implementation already in progress and quickly drive migration activities forward.
\n, * Previous experience supporting Infor LN ERP implementations in manufacturing environments.
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 * Experience with enterprise-wide digital transformation or ERP modernization initiatives.
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 * Familiarity with regulated manufacturing environments.
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 * Knowledge of cloud data platforms, data warehouses, or lakehouse architectures.
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 * Experience with AI data readiness, AI governance, or responsible AI practices.

## Description

We are seeking an experienced Data Architect to support a leading global manufacturing company undergoing a large-scale ERP transformation. This individual will play a critical role in the implementation of Infor CloudSuite Industrial (LN), taking ownership of the data migration workstream and ensuring data accuracy, integrity, and readiness through go-live., The ideal candidate will bring a strong combination of hands-on Infor LN expertise, ERP data migration leadership, data architecture, and master data management experience. This role requires someone who can lead a team of data analysts while remaining actively involved in data cleansing, mapping, migration, and validation activities. Additionally, this individual will help establish data governance standards and support future enterprise AI initiatives., n
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 * Lead the overall data strategy, architecture, and migration activities for the Infor LN ERP implementation.
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 * Manage, mentor, and provide technical direction to a team of data analysts.
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 * Own end-to-end ERP data migration activities, including source data analysis, data mapping, transformation, loading, validation, and cutover planning.
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 * Develop and execute data cleansing, deduplication, and master data management processes to ensure data accuracy and consistency.
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 * Oversee migration of critical master data, including customer, supplier, item, bill of materials (BOM), and pricing information.
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 * Lead mock data conversions, reconciliation activities, and migration readiness assessments throughout implementation and testing cycles.
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 * Collaborate with implementation partners, IT leadership, and business stakeholders to resolve data-related issues and support successful ERP integration.
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 * Support CRM-to-ERP data integration and address data quality challenges across business systems.
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 * Establish data governance frameworks, ownership standards, and data quality controls to support long-term operational efficiency.
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 * Develop reporting and metrics to track data quality, migration progress, and overall readiness for go-live.
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 * Partner with Security and Enterprise Architecture teams to assess enterprise data readiness for AI initiatives, including Microsoft Copilot.
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