Global scope focused on all of IT foundational data, current data quality, Processes & Governance surrounding data generation & maintenance in Schneider Digital IT service management toolsets

Roles and Responsibilities

The data quality process specialist supports Data Domain Owners who are responsible for monitoring and managing the entity’s data quality
Develops and Leads data methodology framework and implementation
Establishes & Communicates best practices to Data Owner/Manager
Provides Data Quality expertise for implementation
Participates in Data Quality Community interactions
accountable for identifying, validating & monitoring Critical Data Elements
Leads “Definition of Policies & Standards according to the 7 Dimensions of Data Quality” stream
Is accountable for Quality Rules Documentation
Is accountable for Data Quality KPI’s & tolerance levels
Audit practices and quality standards defined as aligned with its definition, ensuring compliance with procedures, reports, operating practices, and documentation




Coordinates creation of Dashboards for Data Health Monitoring. Communicates audit findings by preparing a final report that is communicated to the key stakeholders of each process and Industries.
Prioritizes & leads Corrective Action Plans
Leads campaign of Data Quality issue patterns
Ensure that processes owned are properly executed according to the process documentation

Education:
University degree with focus on qualitative methods/ econometrics/ statistics/ mathematics / IT or related degree programs

Working Experience:
well versed with common Data Quality issues and respective mitigation approach
Has knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance
Appreciates the people, processes as well as technology aspects of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g., Data Governance culture, Data

📌 Data Quality Process Specialist Bengaluru
🏢 Schneider Electric
📍 Bengaluru