
Data Governance Specialist
10 hours ago
The primary responsibility of this role is to ensure data integrity, consistency, and compliance with organizational standards. This involves providing expert-level support to business units in managing master data objects.
This includes offering guidance, training, and hands-on assistance to guarantee accurate and complete data.
Responsibilities- Expert Guidance & Training
- Deliver training sessions and documentation to business users on master data standards and processes.
- Act as a subject matter expert (SME) for master data objects across various domains (e.g., customer, vendor, material, finance).
- Provide ongoing support and consultation to ensure correct usage and maintenance of master data.
- Master Data Maintenance
- Execute master data creation, updates, and deletions in line with defined Service Level Agreements (SLAs).
- Ensure high levels of accuracy and completeness in all master data transactions.
- Collaborate with cross-functional teams to validate and verify data inputs.
- Quality Assurance & Compliance
- Monitor data quality and perform regular audits to identify inconsistencies or errors.
- Implement corrective actions and continuous improvement initiatives.
- Ensure compliance with internal data governance policies and external regulatory requirements.
- Reporting & Analysis
- Generate reports on master data performance, SLA adherence, and data quality metrics.
- Analyse trends and provide insights to improve data management practices.
- B.Tech /B.E/MCA/BCA/M.Sc-IT/CS
- Experience: 4-8 years
- Strong understanding of master data domains and governance principles.
- Proficiency in data management tools and ERP systems (e.g., SAP, Oracle).
- Excellent communication and training skills.
- Detail-oriented with a focus on data accuracy and process efficiency.
- Ability to work collaboratively across departments.
- Performance Metrics
- SLA compliance rate for master data tasks.
- Accuracy and completeness of master data entries.
- Number of training sessions conducted and user satisfaction scores.
- Frequency and resolution rate of data quality issues.
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