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.

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• 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 current 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.
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📌 AI Engineer (Pune)
🏢 Eaton
📍 Pune