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Product Manager - II

Job in 600001, Chennai, Tamil Nadu, India
Listing for: Yubi
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 300000 - 850000 INR Yearly INR 300000.00 850000.00 YEAR
Job Description & How to Apply Below
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 Bachelors 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
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