Director, Reporting, Advanced Analytics and Automation at Manulife in Quezon City

  • Company: Manulife
  • Location: Quezon City
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-11

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Job description

The Global Risk Intelligence & Technology (GRIT) team supports Financial Risk Digital Enablement (FRDE), a global function that delivers foundational risk programs and insights for managing Market, Liquidity, Model, and Reinsurance Credit Risks across Manulife. We are seeking a Director, Reporting, Advanced Analytics and Automation (RAA) to provide strategic and technical leadership in advancing financial risk reporting, analytics, automation, and AI capabilities, translating complex risk and business challenges into innovative solutions that support enterprise risk oversight and informed decision-making. This role sits at the intersection of data, technology, governance, and operations. You will collaborate with partners across actuarial, finance, risk, and engineering to streamline reporting processes, reinforce controls, and evolve our analytics ecosystem using tools such as Power Platform, Azure Databricks, and emerging GenAI capabilities. This job description does not represent a comprehensive listing of job duties that are required of the employee performing this role. We reserve the right to change duties or assign additional duties at any time with or without notice. Key Responsibilities Reporting to Global Head of Reporting, Advanced Analytics and Automation (RAA) , the Director’s responsibility will be to deliver ongoing enhancements to reporting and analytics in support of the Market, Liquidity, Model, and Reinsurance Credit Risks risk management programs. This includes automation and preparation of ongoing established reports and ad-hoc requests for delivery to the Company’s Chief Risk Officer, executive and Board risk committees, support in building GenAI practices and engines for risk intelligence and any corresponding data related processes. The incumbent will work primarily with Group Financial Risk and other functions across the Company. Key responsibilities include, but are not limited to: Drive the advancement of risk intelligence capabilities, championing innovative approaches to monitoring, forecasting, and communicating financial risk insights to senior management and governance committees. Execute the design and delivery of executive-level dashboards, analytics platforms, and self-service capabilities that provide timely, actionable insights and enhance risk-based decision-making. Provide thought leadership in the adoption of advanced analytics, artificial intelligence, and GenAI, identifying opportunities to transform risk reporting, automate processes, improve data quality, and enhance operational effectiveness. Establish and promote best practices for data governance, controls, model transparency, and risk management, ensuring all reporting and analytics solutions meet enterprise standards and regulatory expectations. Lead a high-performing team of analytics, reporting, and automation professionals, fostering a culture of innovation, technical excellence, continuous learning, and stakeholder-centric delivery. Drive continuous improvement and modernization of financial risk technology solutions, balancing strategic transformation initiatives with operational resilience, platform sustainability, and evolving business needs. Qualifications Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, Mathematics, Statistics, or a related field. 8-10+ years of relevant experience in any of the fields in analytics, automation, digital transformation, or risk technology functions. Experience with financial risk management and regulatory frameworks, including OSFI E-23 (Model Risk Management), OSFI E-21 (Operational Risk Management and Resilience), OSFI B-13 (Technology and Cyber Risk Management), IFRS 17, LICAT and evolving AI governance and model risk management standards, is considered an asset. Familiarity with enterprise risk governance, model lifecycle management, model inventory and validation processes, data governance, and risk oversight frameworks within large fi

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