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Eaton is seeking a Senior Master Data Management Analyst in India to lead MDM and data governance across key domains, ensuring data quality and consistency across systems.
You will bridge IT and business teams, translate data requirements into actionable solutions, and mentor junior analysts while refining data models and CRM integration with ERP.
Eaton announced, on June 11, 2026, the intent to combine its Mobility Group (including both the Vehicle and eMobility segments) with a new company. We expect to complete this process by the end of the first half of 2027. The compensation and benefits that will initially be offered for this position are based on Eaton's plans, programs and practices. If you are offered and accept this position and are actively employed by the Mobility Group when the transaction closes, the new company will provide further details to employees concerning compensation and benefits at that time.
Eaton announced, on June 11, 2026, the intent to combine its Mobility Group (including both the Vehicle and eMobility segments) with a new company. We expect to complete this process by the end of the first half of 2027. The compensation and benefits that will initially be offered for this position are based on Eaton's plans, programs and practices. If you are offered and accept this position and are actively employed by the Mobility Group when the transaction closes, the new company will provide further details to employees concerning compensation and benefits at that time. The Senior Master Data Management Analyst is responsible for leading Master Data Management and Data Governance initiatives for the assigned domain. This role ensures the definition, quality, governance, and effective use of critical enterprise data across source systems and downstream platforms. Acting as a key liaison between business and technology teams, the role drives data quality, enforces governance standards, applies change management practices, and enables data-driven business outcomes. The position also brings strong customer data domain and CRM business understanding to ensure data models, definitions, and governance decisions align with industry and operational requirements.