Assistant Manager

Position and Department Details

Role: Asst.Manager (Onroll)

Department: Operations Hub, Data & Capability (GIX-Intelligence).

Job Role:

• Develop, maintain, and continuously improve the data quality framework, ensuring it aligns with Lean principles and industry best practices.
• Design and track key data quality metrics, such as data accuracy, completeness, and timeliness, to measure data quality performance.
• Develop, implement, and maintain comprehensive data quality frameworks, policies, standards, and procedures in alignment with business objectives and regulatory requirements.
• Design and execute data quality assessments, profiling, and monitoring to identify data anomalies, inconsistencies, and root causes of data issues.
• Define and track key data quality metrics and KPIs, providing regular reporting on data health and improvement initiatives.

• Apply Lean principles (e.g., Value Stream Mapping, 5S, Kaizen, Gemba walks, Root Cause Analysis) to identify and eliminate waste in data creation, capture, processing, and consumption.
• Lead and facilitate workshops to streamline data-related processes, reduce errors, and improve data flow efficiency.
• Implement continuous improvement cycles for data quality processes, fostering a culture of ongoing learning and refinement.
• Develop and implement standardized work for data quality activities to ensure consistency and repeatability.
• Apply Lean principles (e.g., Value Stream Mapping, 5S, Kaizen, Gemba walks, Root Cause Analysis) to identify and eliminate waste in data creation, capture, processing, and consumption.
• Lead and facilitate workshops to streamline data-related processes, reduce errors, and improve data flow efficiency.
• Implement continuous improvement cycles for data quality processes, fostering a culture of ongoing learning and refinement.
• Develop and implement standardized work for data quality activities to ensure consistency and repeatability.

• Perform in-depth root cause analysis for identified data quality issues, collaborating with all stakeholders
• Develop and implement corrective and preventive actions (CAPAs) to address data quality defects, ensuring long-term solutions.
• Work with data engineering and development teams to implement data quality rules and validations within data pipelines and applications/processes.

• Provide training and mentorship to business users and data stewards on data quality best practices, tools, and processes.
• Champion data quality awareness and understanding across the teams.

• Utilize and recommend data quality tools (e.g., data profiling, data cleansing, master data management, data governance platforms) to enhance capabilities.
• Work with IT to ensure data quality tools are effectively integrated and optimized.

Requirements: