Key Responsibilities:

- Lead the end-to-end business planning process for renewals collections and surrender management verticals.

- Define annual and quarterly plans in alignment with business goals, regulatory requirements, and market dynamics.

- Perform gap analysis and define corrective actions based on forecast vs actual performance

- Build and maintain advanced dashboards and reports (MIS) tracking key performance indicators (KPIs) of Call centre like persistency ratio, surrender rates, lapse ratio, renewal collections, and onboarding exceptions.

- Analyze customer behavior patterns, risk profiles, and policy trends using predictive analytics models to enhance targeting strategies.

- Provide actionable insights to influence strategy and decision-making across collection and retention functions

- Perform root-cause analysis of surrender cases and design data-driven interventions to reduce voluntary surrenders.

- Identify and flag vulnerable or high-risk policy cohorts for early engagement.

- Monitor persistency trends and design focused retention campaigns leveraging propensity models.

- Analyze collections performance at a granular level (product-wise, channel-wise, cohort-wise).

- Recommend strategies to improve agent and customer engagement based on analytics output.

- Support digital initiatives like Autopay win-back models, Humanoid BOT targeting, and customer segmentation models.

- Monitor onboarding workflows for anomalies and deviations, including KYC compliance, policy issuance timelines, and system-generated vs manual exceptions.

- Establish control frameworks to reduce onboarding errors and drive process improvements.

- Collaborate with Operations and Risk teams to mitigate early-stage leakage





Measure of Success:

- Improvement in Persistency Ratio

- Reduction in Surrender Rates (Voluntary & Involuntary)

- Onboarding Exception Ratio

- Accuracy & Timeliness of MIS Reports

- Predictive Model Accuracy & Effectiveness

- Impact of Data-driven Interventions (collections uplift, early warning score models)

- Reduction in manual effort through automation & digital tools

Desired qualifications and experience:

- Postgraduate in Statistics, Business Analytics, Actuarial Science, Finance, or equivalent discipline

- Additional certifications in Data Science, Analytics, or Business Intelligence preferred

- 8–12 years of work experience in Analytics, Business Planning, or Performance Management, ideally in Insurance or BFSI domain

- Proven track record of leading analytics teams to drive business decisions and measurable outcomes

- Experience in working with large datasets and translating complex analytics into simple business narratives

- Solid analytical mindset with expertise in Business Intelligence tools (Power BI, Tableau, Excel, SQL)

- Deep understanding of Life Insurance business, especially renewals, persistency, surrender, and onboarding processes

- Hands-on experience in statistical modeling, predictive analytics, and propensity scoring

- Good knowledge of data governance, process control frameworks, and compliance requirements

- Strong problem-solving aptitude and ability to translate data into actionable business strategies

- Excellent communication and stakeholder management skills

- Exposure to RPA, AI/ML tools, and digital analytics solutions will be an added advantage

- Detail-oriented, structured thinker with the ability to manage multiple projects

📌 Chief Manager -Renewals ( Data Analytics) (Gurugram)
🏢 Axis Max Life Insurance
📍 Gurugram