Data Management Lead
Koch Industries
Your Job Guardian is seeking a Data Management Lead to join our team in Auburn Hills, MI! In this role you will help shape the trusted data foundation for our enterprise ERP transformation. You will connect business processes and outcomes to governed data definitions, conversion requirements, quality controls, and reusable data products that support operations, reporting, analytics, and AI-enabled solutions. Our Team You will work across Guardian business and technology teams, partnering with Global Process Owners, Business Process Owners, Data Stewards, and ERP workstreams. Together, the team is building sustainable data capabilities that support business readiness at go-live and continue creating value after implementation. What You Will Do
- Lead business and subject-matter engagement to define and validate the master, reference, and transactional data required for ERP deployment.
- Translate business processes and outcomes into governed data definitions, conversion rules, quality requirements, reconciliation criteria, and acceptance criteria.
- Coordinate data readiness through profiling, cleansing, testing, refreshes, cutover, production loading, and post-load validation.
- Lead assigned domains through the data-product lifecycle, from business definition and technical alignment through validation, publication, and ongoing ownership.
- Partner with Data Stewards, process owners, and technology teams to clarify ownership, resolve dependencies, and make data quality and delivery risks visible.
- Validate that data products, semantic views, reports, and related consumption methods reflect approved business meaning and logic.
- Drive standardization, reuse, and continuous improvement across ERP conversion, data governance, and data-product delivery.
- Experience in data management, enterprise resource planning implementation, data conversion, data governance, master data, business analysis, or data-product delivery.
- Experience translating business processes into data definitions, requirements, quality rules, controls, and acceptance criteria.
- Experience supporting enterprise testing, data refreshes, cutover, go-live, or stabilization activities.
- Working knowledge of data governance, metadata, lineage, master data management, data quality, and data stewardship practices.
- Experience coordinating cross-functional work among business and technology stakeholders.
- Experience with Infor M3 or a comparable global ERP platform, particularly in warehouse, logistics, or quality processes.
- Experience with Azure DevOps and Agile delivery methods such as Scrum or Kanban.
- Experience with Snowflake, SQL, semantic models, business intelligence consumption patterns, or enterprise data platforms.
- Experience applying data-product, metadata, lineage, and governed-data concepts in manufacturing, supply chain, operations, finance, commercial, or quality domains.
Vacancy posted 2 days ago
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