AI Engineer - MDM

## What you’ll do: 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." ## Qualifications: Bachelor’s degree in Computer Science, Data Science,AI/ML, or related field "• 4–6 years of experience in AI/ML, analytics, automation, MDM, or data governance. • Ability to work effectively in team environment and independently." ## Skills: "- Master Data Management, Product Data Management, Data Quality and Data Governance. \- Experience in AI / GenAI, ML, automation, prompt engineering and data analysis. \- Knowledge of Stibo STEP / PIM, including data migration, validation, cleansing and mapping. \- Experience in Python, SQL, Snowflake and Power BI. \- Good to have knowledge of SAP, Snowflake, APIs and workflow automation tools. \- Good communication skills and ability to work with business, IT, governance and stewardship teams." "• Drive for results • Makes Decisions & Solves Problems • Demonstrates a Collaborative Style • Promotes and Champions Change • Pursues personal development • Strong work ethic, flexibility, and a desire to actively contribute to the group’s success • Ability to prioritize multiple tasks • Team player. Ability to handle high-pressure, fast-paced environment requiring diligence to detail Proven analytical and critical thinking skills "