Product Manager – Business Analyst

Job Description: 1. Product Ownership & Requirement Management • Understand business needs and convert them into clear, structured Business Requirement Documents (BRDs) for the Tech team. • Prioritize enhancements and projects based on business value, operational impact, compliance needs, and regulatory timelines. • Maintain a transparent and updated product backlog with effort vs. impact assessment. 2. Project Execution Across LOS & LSQ (CRM) • Lead end-to-end execution of all enhancements or new module development across LOS and LSQ. • Coordinate with technology teams on solution design, effort estimation, timelines, and development progress. • Ensure interdependencies between modules (credit, ops, sales, etc.) are mapped and managed proactively. 3. Stakeholder Management • Engage with Credit, Operations, Risk, Sales, Compliance and other teams to validate requirements and incorporate their feedback. • Conduct regular project updates, align decisions, and obtain sign-offs at key stages. • Serve as the primary bridge between business users and technology. 4. Testing, UAT & Go-Live Readiness • Create UAT test cases and manage end-to-end testing for all LOS/LSQ releases. • Validate that delivered features match business needs and close all gaps before deployment. • Drive go-live planning, communication, training material creation, and rollout execution. 5. Adoption, Training & Monitoring • Prepare process notes, SOPs, and training modules for end users. • Conduct training sessions for business teams and ops/credit users. • Track post-go-live adoption, usage metrics, user feedback, and ensure continuous improvement. 6. Governance & Compliance • Ensure all regulatory/compliance-related technology changes are captured, prioritized, and delivered within required timelines. • Maintain documentation and audit trails for all tech changes. 7. Tech Competition Benchmarking • Conduct ongoing benchmarking of key competitors' products and technology positioning • Identify gaps, and differentiators that can be converted into viable business opportunities. 8. Process Design & Efficiency Enhancement • Map end‑to‑end customer and internal workflows; identify bottlenecks and opportunities for automation. • Improve TAT, reduce leakage, and enhance overall customer experience. 9. Understanding of Lending Product and its nuances • The role requires strong product thinking, analytical ability, deep market understanding, and cross‑functional skills to ensure every product proposition delivers growth. The candidate will closely collaborate with Sales, Credit, Operations, Risk, Compliance, and Technology teams, while also engaging with external partners and institutions. Key roles and responsibilities • Key Skills & CompetenciesStrong understanding of lending workflows, LOS systems, and CRM platforms. • Experience in product management or business analysis for tech-driven projects. • Ability to translate business needs into technical requirements. • Strong communication, documentation, and stakeholder management skills. • Strong analytical mindset and problem-solving approach. Handon with Excel and data – analysis. • Data – driven decisioning to arrive at efficacy of the project outcomes or suggest areas of improvement. • Ability to manage multiple projects simultaneously with ownership and discipline. Skills The Product Manager – Business Analyst will be responsible for driving key technology initiatives across the Loan Origination System (LOS) and LSQ (CRM) platforms. The role requires strong product ownership, business analysis, cross-functional coordination, and hands-on management of project delivery—from requirement gathering to UAT and go‑live readiness. Qualification & Experience • 4- 8 years of experience in Product, Business Analysis, or Technology roles within financial services or fintech. • Preferable if has scrum master certification or any other relevant certification • Prior experience with LOS/CRM systems is a strong advantage. • MBA/Engineering background preferred but not mandatory. • Any additional knowledge of technology domains i.e. Java script, Python or any AI tools will be an added advantage.