
Cluster Manager
14 hours ago
Cluster Manager - Risk / Senior Cluster Manager - Risk
Job Purpose
Manage and enrich Franchise customer data of 45 Cr to enable creation and generation of Pre-Approved offers, improve approval rates by enriching data through verified sources, and enable instant disbursals by continuously improving fill rates of verified information to help scale volumes in the 3in1 App.
Responsible for identifying data requirements and evaluating quality of data sourced through external vendors.
This capability will help build scale on the 3in1 App and aims to improve the Company's market share by 10% from current levels at the same portfolio risk levels.
Duties and Responsibilities
Principal Accountabilities- Data Quality, Data Standardization & New Data Enrichment Management
- Data Standardization & Data Quality
- Ensure all existing & prospect records are maintained in a single repository.
- Maintain all other data points related to these records and any data enrichment in a single repository.
- Define SOP & rules for duplicate identification and resolution.
- Define validation rules for data fields to ensure that junk data does not enter the repository.
- Prepare BRD and User Story for development of Internal Data Storage design that enables maintaining every data point received with tagging of source, time, verified/non-verified data, and confidence level.
- Define field quality validations and create data quality index.
- Define logic for flagging of confidence levels for data fields to enable end users to utilize data as per their confidence flagging.
- Governance of new data elements or new data sources.
- Work with IT BIU team in the creation of real-time data quality dashboards.
- Ensure error rates in data quality are maintained within threshold levels.
- Work with IT BIU team in creation of data confidence & fill rate dashboards.
- Define SOP and scope of activities for data quality management through manual intervention executed by outsourced Credit Ops shop in Bareily.
- Control checks on data quality management done through the Bareily shop.
- Define validation rules and confidence levels for any variable brought into the single repository.
- Ensure that the data tables have no data quality issues.
- Data Enrichment
- Engage with the partnership team to validate that information meets defined quality standards.
- Qualify whether data points from a particular partner or source can be used for enrichment.
- Identify and maintain a list of sources and websites for data enrichment.
- Stakeholder Management
- Set up and convene Change Control Board meetings with all stakeholders across all businesses and functions.
- Engage with the Data Partnership team for data quality and the Data Offer team for usage of data for offer generation.
- Engage with the EDW team for creating and managing tables.
- Team Development
- Identify the right talent for positions within the function.
- Establish individual performance expectations and regularly review individual performance of the team.
- Identify development needs of teams and provide appropriate opportunities (trainings for professional development, etc.) to ensure teams are motivated and equipped to drive business.
Required Qualifications and Experience- Educational Qualifications
- Post-graduation/MBA or educational background in mathematical, statistical, and data science orientations.
- Work Experience
- Minimum 7+ years of experience in EDW management.
- Experience with large data handling and quantitative analysis.
- Exposure to data analytics tools (e.g., SAS, SQL, and Decision Tree), automated BI reports.
- Strong problem-solving ability and analytical skills.
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