AI Engineer - MDM

This position will be responsible for developing and maintaining AI-enablement capabilities to support Master Data Management processes, with a focus on improving data quality, consistency, completeness, automation, and stewardship effectiveness for data used across Eaton’s enterprise systems, digital platforms, analytics, and business initiatives.

"• Design, develop, and maintain AI-enabled solutions to support master data management, data quality, stewardship operations, and business decision-making. • Develop reusable AI components, automation workflows, and technical assets aligned with MDM process requirements and enterprise standards. • Collaborate with data stewards, business users, IT, and governance teams to understand requirements and translate them into practical AI-enabled solutions. • Support new MDM deployments by leveraging AI and automation to improve data readiness, migration quality, validation, cleansing, mapping, and implementation efficiency. • Analyze data patterns, process gaps, recurring issues, and operational inefficiencies to identify opportunities for automation and continuous improvement. • Support integration of AI capabilities with MDM platforms, enterprise data systems, reporting tools, and workflow applications. • Create and maintain technical documentation, including solution designs, business rules, assumptions, testing outcomes, and operating procedures. • Ensure AI solutions follow responsible AI, data privacy, cybersecurity, access control, and enterprise governance requirements. • Build validation, monitoring, and feedback mechanisms to ensure AI outputs are accurate, explainable, consistent, and fit for business use. • Support human-in-the-loop review and approval processes to ensure business accountability remains with the appropriate data and process owners. • Track adoption, performance, and business impact of AI-enabled solutions and recommend improvements based on user feedback and measured outcomes. • Partner with architecture and technology teams to ensure solutions are scalable, maintainable, reusable, and aligned with long-term MDM strategy. • Provide guidance and enablement to end users on effective and responsible usage of AI-enabled tools and automation capabilities."