Distribution Quality Business Intelligence Manager

Manulife Financial; Hinoba-an; Hybrid; PHP 1,200,000 - 2,000,000; Full time

Job summary

Manulife Financial in the Philippines seeks a Distribution Quality Business Intelligence Manager to lead our BI capability within Distribution Risk and Quality Control. You will translate data on quality, persistency, conduct, and complaints into actionable insights and management recommendations, enabling prioritized interventions.

You’ll partner with MIS and data teams to produce heatmaps, early warning indicators, and governance-ready narratives, driving evidence-based decisions across

Qualifications

• 6–10 years of experience in BI, analytics, risk management, MIS, distribution analytics, or insurance distribution.
• Experience interpreting complex datasets and translating analysis into business recommendations.
• Experience with distribution, agency, insurance, bancassurance, financial services, operational risk, quality management, or compliance monitoring.
• Experience developing dashboards, heatmaps, scorecards, early warning indicators, or management reporting.

Responsibilities

• Develop and maintain a Distribution Quality BI 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 BI outputs that support proactive risk intervention and quality improvement.
• 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 monitoring of intervention effectiveness by comparing pre-action and post-action indicators.

Skills

Business intelligence

Analytics

Risk management

MIS

Distribution analytics

Sales quality

Governance reporting

Education

Bachelor’s degree in business management, Economics, Finance, Statistics, Data Analytics, Risk Management, Mathematics, Information Management, or related field

Tools

Power BI

SQL

Python

Tableau

Job description

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 reporting inputs.

Individual Accountabilities

• Own the Business Intelligence capability of DRQC under L1B oversight model.
• Provide root cause analysis, risk heatmaps, quality trends, early warning indicators, and management recommendations.
• Distinguish DRQC Business Intelligence from MIS by focusing on interpretation, root cause, risk themes, and decision support.
• Identify what is happening, why it is happening, and where management should focus.
• Support the Governance and Assurance Senior Manager in forming governance conclusions through analytical evidence and insight.
• Support Agency Governance by identifying priority areas for investigation, action, or intervention.

Shared Accountabilities

• Coordinate with Agency Governance on risk themes, action focus areas, and post-intervention monitoring.
• Partner with MIS to leverage available data and reporting infrastructure while retaining DRQC's responsibility for interpretation and management recommendations.
• Collaborate with Distribution Compliance and Risk Management on misconduct trends, quality indicators, risk thresholds, and governance reporting.
• Support the Governance and Assurance Senior Manager in committee reporting and management escalation.
• Work with the Distribution Quality Monitoring and Coordination Associate to align action tracking with risk themes and emerging issues.

Required Qualifications

• 6 to 10 years of experience in business intelligence, analytics, risk management, MIS, distribution analytics, sales quality, governance reporting, or insurance distribution.
• Experience in interpreting complex datasets and translating analysis into business recommendations.
• Experience with distribution, agency, insurance, bancassurance, financial services, operational risk, quality management, or compliance monitoring is preferred.
• Experience developing dashboards, heatmaps, scorecards, early warning indicators, or management reporting.

Preferred Qualifications

• Bachelor’s degree in business management, Economics, Finance, Statistics, Data Analytics, Risk Management, Mathematics, Information Management, or related field.
• Power BI certification
• Data analytics certification
• Business intelligence certification
• Risk management certification
• SQL, Python, Tableau, or equivalent analytics certification

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/lをご覧ください。

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、[e-mail]までご連絡をお願いします。

Working Arrangement

ハイブリッド勤務