Subcontractor

Area(s) of responsibility

• 10+ years in data management, data engineering, or data migration with at least 3+ years applying AI/ML techniques to data quality or migration challenges.
• Strong hands-on experience with AI/ML frameworks - LLMs, NLP, fuzzy matching, entity resolution, anomaly detection (Python, scikit-learn, TensorFlow, PyTorch, Hugging Face, or similar).
• Deep understanding of ERP data models and data loading mechanisms across platforms such as SAP, Oracle, Infor, or JD Edwards.
• Proven experience deploying solutions on cloud platforms - AWS, Azure, or GCP (compute, storage, ML services, orchestration).
• Expertise in data quality disciplines - profiling, standardization, deduplication, enrichment, validation, and reconciliation.
• Experience with iterative migration execution models (Mock, SIT, UAT, Production) and factory-based delivery approaches.
• Familiarity with industry classification and reference data standards (UNSPSC, D&B, NAICS, ICD, HL7, GS1).
• Excellent communication and stakeholder management skills; ability to present technical solutions to business audiences