Lead (AVP/VP) - Growth Analytics, Commercial Banking

Role Overview

We are seeking a highly analytical and business-oriented leader to drive Growth Analytics for the Commercial Banking business. Reporting to the Head of Analytics & Data Science, this role will be responsible for leveraging data, analytics, and machine learning to accelerate customer acquisition, portfolio growth, cross-sell, customer engagement, and sales productivity.

The ideal candidate combines strong analytical expertise with business acumen and has a proven track record of delivering measurable business outcomes through data-driven decision making.

Key Responsibilities

- Lead analytics initiatives focused on customer acquisition, portfolio growth, cross-sell, retention, and relationship manager productivity.
- Develop customer segmentation, propensity, lead prioritization, churn, and next-best-action models.
- Generate actionable insights from customer, transaction, and portfolio data to identify growth opportunities.
- Design and measure campaigns, sales interventions, and customer engagement programs.
- Build and maintain business dashboards, KPI frameworks, and performance reporting.
- Partner closely with Business, Product, Risk, Technology, and Data teams to deliver high-impact analytics solutions.




- Prioritize and execute analytics use cases aligned to business objectives and revenue outcomes.
- Lead and mentor a team of analysts and data scientists, promoting best practices in analytics and experimentation.

Qualifications

- 8+ years of experience in Analytics, Data Science, Business Intelligence, or related quantitative roles.
- Experience in Banking, Financial Services, Fintech, Lending, or Commercial Banking preferred.
- Robust expertise in SQL, Python, data analysis, statistical modeling, and machine learning.
- Experience developing customer analytics, growth models, campaign analytics, or portfolio analytics solutions.
- Proven ability to translate business problems into analytical solutions with measurable impact.
- Strong stakeholder management, communication, and team leadership skills.
- Bachelor's degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or a related discipline. Master's degree preferred.

What Success Looks Like

- Increased customer acquisition and portfolio growth through analytics-led interventions.
- Improved cross-sell, customer engagement, and relationship manager productivity.
- Scalable analytics solutions and models embedded into business processes.
- Measurable business impact through data-driven decisioning and experimentation.

📌 Principal Manager-Data Science-SUPPORT SERVICES-Data & Analytics - In House Engineering (Bengaluru)
🏢 Kotak
📍 Bengaluru