Chief Manager -Renewals ( Data Analytics)

Axis Max Life Insurance Limited; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Axis Max Life Insurance Limited is seeking an experienced Analytics Lead to drive end-to-end planning for renewals, collections and surrender management. You will define annual and quarterly plans aligned with business goals, regulatory requirements and market dynamics.

You will build advanced dashboards (MIS) tracking KPIs like persistency, surrender rates, lapse ratio, renewal collections and onboarding exceptions, while using predictive analytics to sharpen targeting and interventions for

Qualifications

• Postgraduate in Statistics, Business Analytics, Actuarial Science, Finance or equivalent.
• Certifications in Data Science, Analytics, or BI preferred.
• 8-12 years of analytics/planning/performance mgmt experience,Insurance/BFSI preferred.
• Proven track record leading analytics teams to drive decisions and outcomes.

Responsibilities

• Lead end-to-end business planning for renewals, collections and surrender management.
• Define annual and quarterly plans aligned with business goals, regulatory requirements and market dynamics.
• Perform gap analysis and corrective actions based on forecast vs actual performance.
• Build dashboards and MIS tracking KPIs like persistency, surrender rates, lapse, renewal collections, onboarding exceptions.
• Analyze customer behavior, risk profiles, policy trends using predictive analytics to enhance targeting.

Skills

Analytical mindset

Stakeholder management

Communication skills

Problem solving

Leadership

Education

Postgraduate in Statistics, Business Analytics, Actuarial Science, Finance

Tools

Power BI

Tableau

Excel

SQL

Job description

• 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.
• 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
• 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
• Strong 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