Job Description
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 Eatons 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.
Bachelors 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.
- 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.
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- 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 groups success
- Ability to prioritize multiple tasks
- Team player. Ability to handle high-pressure, fast-paced environment requiring diligence to detail
Skills
PythonData AnalysisData GovernanceData MigrationData PrivacyData ScienceImplementationSnowflakeAi/mlPrompt EngineeringAnalyticsData ManagementAiMlSqlGenaiWorkflow AutomationAi EngineerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
In 1911, Joseph O. Eaton, brother-in-law Henning O. Taube and Viggo V. Torbensen, incorporated the Torbensen Gear and Axle Co. in Bloomfield, New Jersey. With financial backing from Torbensen's mother, the company was set to manufacture Torbensen's patented internal-gear truck axle. In 1914, the company moved to Cleveland, Ohio, to be closer to its core business, the automotive industry.
The Torbensen Axle Company incorporated in Ohio in 1916, succeeding the New Jersey corporation. A year later, Republic Motor Truck Company, Torbensen's largest customer bought out the company. But Eaton and Torbensen were not content and bowed out of Republic to form the Eaton Axle Company in 1919. A year later, in 1920, Eaton Axle Company merged with Standard Parts. Standard Parts went in receivership later the same year and was later liquidated. In 1923, Eaton bought the Torbensen Axle Co. back from Republic and changed the name to the Eaton Axle and Spring Company.
Eaton officers believed the quickest way to grow the business was through acquisitions and began buying companies in the automotive industry. By 1932, the diversified company changed its name to Eaton Manufacturing Company. In 1937, Eaton became international by opening a manufacturing plant in Canada. In 1958 Eaton Corporation acquired Fuller Manufacturing. The company name changed once again in 1965 to Eaton Yale & Towne Inc. after the acquisition of Yale & Towne Manufacturing Co. in 1963. Stockholders approved the change to the company's current name in 1971. In 1978, Eaton Corporation acquired Samuel Moore & Company, Kenway Systems, and Cutler-Hammer.
Important dates & deadlines?
Application Deadline
06 Dec 26, 05:20 PM IST
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AI Engineer - MDM
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