Product Manager - II

Yubi is a Fintech platform which enables debt transactions in primary and secondary markets for both retail and corporate segments. In order to operationally understand the transaction status, analyze the transaction data for insights, we have a data layer which can support reports, dashboards, predictive, prescriptive use cases in the platform. Need a data Product Manager who can handle this end to end including the adoption at customer end

Key Responsibilities

• Understand the platform for different types of the debt transactions - Colending, Direct assignment, Securitisation, SCF

• Constant appraise and update themselves on the new features developed in the platform

• Conduct Primary and Secondary research with the users to understand the necessary gaps in the data related use cases

• Define and manage the data warehouse, data self serve roadmap to support the reports and dashboard use cases - both internal and external

• Dashboard and reports roadmap will include auto insights/commentary with genAI wherever applicable

• Define and manage platform predictive and prescriptive use cases wherever needed

• Detailed document for all the features/capabilities required in the roadmap

• Coordinate with stakeholders including data engineering, data science, core engineering, platform PMs

• Perform User acceptance testing for the developed capabilities to ensure it in sync with the expectation

• Ensure adoption of the developed capabilities with both internal and external users

• Take user feedback and iterate the platform capabilities to ensure the feature/capability adoption is ~100%

Qualifications:

• 3-6 years of experience with a Bachelor's degree in Data science, Computer Science, Information Technology, or related field. MBA is a plus

• Strong analytical skills with the ability to gather, analyze, and interpret complex data and user feedback.

• Experience with data analysis tools and techniques (e.g., SQL, Python, data science models)

• Proven experience as a data product manager or data scientist or data analyst

• Excellent communication skills with the ability to effectively collaborate with cross-functional teams and present findings to stakeholders at all levels.

• Proficiency in tools and techniques for analysis, documentation and collaboration (e.g., JIRA, Confluence, Microsoft Excel, Word) is a plus