**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 recent 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 "

📌 AI Engineer - MDM (Pune)
🏢 Eaton
📍 Pune