• Bangalore, Mumbai
  • 10-11 lakh
  • 6-10 years
  • 11 Jul 2015

  • Project/ Program Management IT, Senior Management-Technology, Logistics / Supply Chain Management

  • IT/ Technology - ERP/ CRM/ SCM, Logistics/ Courier/ Cargo/Transportation, IT/ Technology - Data Center/ Manage Infrastructure Services
Job Description

* To manage company-wide Master Data to meet business process requirements

* Work closely with Business Representatives at different levels and Database Management team to continually assess and ensure master data meets the requirements of various business processes
* Assist in developing Enterprise Master Data management Model in-line with Enterprise data warehouse and data architecture road map to ensure alignment and integration of master data across various applications
* Organize data clean-up and validation efforts
* Develop and document business processes and workflow that govern the accurate application of Master Data changes
* Utilize standard set of tools to effectively manage the change process
* Investigate and resolve non-compliance/data integrity issues to ensure desired quality of master data
* Manage the efforts to cleanse, organize and update master data on an on-going basis by reaching out to all stakeholders to ensure integrity of master data across the systems
* Assist in developing integrated data management system policy, manual and procedures for effective governance

Qualification and Skills required:

* Master Data Management project experience from a business perspective and familiarity with the principals of MDM business solution design
* Experience in designing/developing data governance standards, roles and responsibilities
* Expert level in Microsoft Access and Excel
* Strong analytical skills and detail orientation
* Familiarity with database maintenance
* Ability to work in team environment or independently as needed.
* High standard of integrity and reliability.

* Minimum 2 years Data Technology experience related to Enterprise Master Data Management along with Data Modeling, Data Governance, Meta Data Management, and Data Architecture

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