Mis Manager

Designation Manager Channel management

Key Responsibilities:

• Data Management & Governance:

• Manage end-to-end data lifecycle for collections-related data including data collection, validation, cleansing, and storage.
• Ensure data accuracy, completeness, and consistency across various sources and platforms (loan management systems, CRM, recovery tools).
• Implement data governance policies to maintain high-quality data standards.

• Collections Data Analysis & Reporting:

• Generate periodic reports and dashboards on collections performance, recovery rates, overdue accounts, and related KPIs.
• Provide actionable insights through data analysis to improve collections strategies and reduce delinquency rates.
• Collaborate with analytics teams to develop predictive models for risk and recovery forecasting.

• Process Improvement:

• Identify data-related bottlenecks and inefficiencies within the collections workflow and propose automation or process enhancements.
• Work closely with IT and software vendors to enhance data management systems and reporting tools.

• Compliance & Audit:

• Ensure collections data management adheres to regulatory requirements and internal policies.
• Prepare data and documentation for internal and external audits.

• Team Leadership:

• Lead and mentor a team of data analysts/associates focused on collections data management.
• Coordinate with cross-functional teams including Credit, Risk, Operations, and IT.

Qualifications & Skills:

• Educational Qualification:

• Bachelor’s degree in Finance, Statistics, Computer Science, or related field. MBA or Master’s in Analytics is a plus.

• Experience:

• 5+ years experience in data management, collections, or credit risk analytics preferably within NBFC or banking sector.
• Hands-on experience with collections systems, data warehousing, and BI tools.

• Technical Skills:

• Strong knowledge of SQL, Excel, and data visualization tools (Tableau, Power BI).
• Familiarity with loan management and collections software platforms.
• Understanding of data governance frameworks and data quality management.

• Soft Skills:

• Analytical mindset with attention to detail.
• Strong communication and stakeholder management skills.
• Ability to lead and manage teams effectively.
• Problem-solving and process improvement orientation.

Key Performance Indicators (KPIs):

• Accuracy and timeliness of collections data reporting.
• Improvement in data quality and reduction in errors.
• Contribution to increased recovery rates through data insights.
• Successful implementation of data-driven process improvements.