Strategy Manager-Debt Management

The Debt Management Data Strategy Manager plays a crucial role in leading and executing data strategy for Retail Debt Management. The primary goal is to leverage both traditional and alternate data sources to drive impactful business outcomes, automate data-related processes, and implement innovative solutions to business challenges using data. In this role, you will act as the business owner responsible for evolving the data strategy for Debt Management from data ingestion to delivering insights. Collaboration with cross-functional teams such as data engineering, data solutions, data governance, data platform, and IT is essential to ensure the optimal implementation of data processes and automations for efficient debt management operations. You will be expected to conceptualize and implement data-driven solutions that enhance collection efficiency, reduce non-performing assets (NPAs), and enable targeted strategies like Account Aggregator Strategy, Non-Contactable resolution, and Gen-AI solutions. Additionally, driving automation and documentation of recurring data processes and overseeing the Debt Management AWS account for cost optimization, governance, management, and budgets are key responsibilities of this role. The ideal candidate should possess a Bachelor's degree in Engineering, Statistics, Economics, Mathematics, or a related field. A minimum of 7 years of experience in data management, data analysis, preferably in debt management, lending, or financial services is required. Proficiency in AWS data tools (Athena, S3, EMR, PySpark), strong coding skills in PySpark/Python/SQL, excellent analytical and problem-solving abilities, and the capacity to work both independently and collaboratively in a team environment are essential. Exceptional communication and interpersonal skills are also necessary for effective performance in this role.,