Chief Manager -Renewals ( Data Analytics)

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 performanceBuild 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 functionsPerform 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 leakageMeasure of Success: Improvement in Persistency RatioReduction in Surrender Rates (Voluntary & Involuntary)Onboarding Exception RatioAccuracy & Timeliness of MIS ReportsPredictive Model Accuracy & EffectivenessImpact of Data-driven Interventions (collections uplift, early warning score models)Reduction in manual effort through automation & digital toolsDesired qualifications and experience:Postgraduate in Statistics, Business Analytics, Actuarial Science, Finance, or equivalent disciplineAdditional certifications in Data Science, Analytics, or Business Intelligence preferred8–12 years of work experience in Analytics, Business Planning, or Performance Management, ideally in Insurance or BFSI domainProven track record of leading analytics teams to drive business decisions and measurable outcomesExperience in working with large datasets and translating complex analytics into simple business narrativesStrong 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 processesHands-on experience in statistical modeling, predictive analytics, and propensity scoringGood knowledge of data governance, process control frameworks, and compliance requirementsStrong problem-solving aptitude and ability to translate data into actionable business strategiesExcellent communication and stakeholder management skillsExposure to RPA, AI/ML tools, and digital analytics solutions will be an added advantageDetail-oriented, structured thinker with the ability to manage multiple projects