Distribution Quality Business Intelligence Manager

The Distribution Quality Business Intelligence Manager serves as the dedicated business intelligence capability within Distribution Risk and Quality Control. The role supports the Line 1B oversight model by converting distribution quality, conduct, persistency, complaint, misconduct, and corrective action data into actionable insights, root cause analysis, early warning indicators, and management recommendations.

This role is distinct from MIS or traditional reporting. MIS provides information and reporting outputs, while DRQC Business Intelligence interprets information, explains why risks are emerging, identifies root causes and quality themes, recommends management action, and converts information into decisions. The role helps management understand what is happening, why it is happening, where risk is concentrated, and where action should be prioritized.

It supports Governance and Assurance by providing evidence-based risk themes, heatmaps, analytical insights, and management-ready recommendations to strengthen sustainable distribution quality. Position Responsibilities: Distribution Quality and Business Intelligence Develop and maintain a Distribution Quality Business Intelligence framework across Agency Distribution. Analyze distribution quality, persistency, sales conduct, complaints, misconduct, replacement, policy alteration, and other quality indicators to identify emerging risks.

Translate raw data into root cause analysis, business insights, and management recommendations. Identify recurring themes, systemic issues, concentration risks, and behavior patterns across region, branch, unit, leader, and advisor levels. Produce business intelligence outputs that support proactive risk intervention and quality improvement. Root Cause Analysis and Early Warning Perform root cause analysis on deteriorating persistency, lapse trends, complaint concentration, misconduct patterns, replacement spikes, and other quality red flags.

Develop and maintain early warning indicators for distribution quality deterioration. Build risk heatmaps to identify high-risk branches, regions, units, leaders, advisors, products, or behaviors. Recommend focus areas for Agency Governance investigation, field intervention, or management escalation. Support the monitoring of intervention effectiveness by comparing pre-action and post-action quality indicators.

In-Force Management and Persistency Intelligence Analyze in-force management indicators, including 3-month lapse, 13-month persistency, second premium lapse, conservation performance, and other relevant quality outcomes. Identify drivers of poor persistency outcomes and recommend targeted interventions. Evaluate whether persistency issues are linked to capability gaps, sales discipline, customer profile, product suitability, onboarding quality, or possible conduct indicators.

Support management discussion on conservation, quality production, advisor behavior, and branch-level intervention priorities. Management Decision and Support Prepare management-ready insights for DRQC, Agency Governance, Distribution leadership, DSRC, DistQAR, and regional stakeholders. Provide analytical evidence to support governance conclusions, assurance findings, and management recommendations.

Convert risk themes into prioritized action recommendations for management consideration. Support governance forums by providing quality trends, root cause narratives, early warning indicators, and intervention recommendations. Reporting Framework and Data Partnership Partner with MIS and data teams to obtain accurate, timely, and relevant data inputs. Ensure business intelligence outputs are accurate, consistent, and fit for governance use.

Maintain dashboards, heatmaps, and quality intelligence views where required. Support DistQI, DistQAR, DSRC, and management reporting by providing insight narratives rather than purely data tables. Challenge data inconsistencies and coordinate with relevant teams to improve quality of repo