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Associate Director, Data & Analytics, HK Retirement

Manulife

Associate Director, Data & Analytics, HK Retirement

full-timePosted: Aug 4, 2026Updated: Sep 3, 2026Hong Kong

Job Description

Data & Analytics is a key enabler of HK Retirement’s growth, member engagement, and enterprise value creation. This role leads the end-to-end delivery of data solutions and analytics, bridging data across enterprise functions to generate actionable insights, drive opportunities, and support strategic initiatives including data platform transformation. Position Responsibilities:Lead design, development, and optimisation of scalable data assets (data marts, pipelines, and models) ensuring quality, governance, and usabilityDrive integration and utilisation of data across enterprise functions to enable holistic member analytics and opportunity identificationTranslate business priorities into actionable analytics use cases with measurable impactDeliver advanced analytics and insights (e.g. segmentation, propensity, engagement drivers) to support member penetration and sales opportunitiesPartner closely with stakeholders to define roadmap, KPIs, and ensure adoption of data-driven decision makingDevelop storytelling materials to communicate insights to senior stakeholdersLead and coach junior team members, driving capability uplift and delivery excellenceSupport data platform migration initiatives, ensuring alignment of business requirementsSupport ad-hoc data analysis and extraction within short turnaround timeRequired Qualifications:Degree in Data Analytics, Statistics Computer Science or related disciplinesProven experience (8+ years) in data analysis, business intelligence and data visualizationProficiency in SQL, Python/PySpark, Azure Databricks, ETL and cloud data platformsExperience in Power BI and end-to-end analytics deliveryProven ability to translate data into commercial outcomesStrong stakeholder management, communication, and problem-solving skillsAble to manage multiple priorities and work independently under pressure and tight timelineGood understanding of data governance and quality principlesExperience in MPF, insurance, and customer analytics is highly preferredWhen 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.About Manulife and John HancockManulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.Manulife is an Equal Opportunity EmployerAt Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.Working ArrangementHybrid

Locations

  • Hong Kong

Skills Required

  • SQLintermediate
  • Power BIintermediate
  • MPFintermediate

Required Qualifications

  • Degree in Data Analytics, Statistics Computer Science or related disciplines (degree in data analytics)
  • Proven experience (8+ years) in data analysis, business intelligence and data visualization (experience, 8 years)
  • Proficiency in SQL, Python/PySpark, Azure Databricks, ETL and cloud data platforms (experience)
  • Experience in Power BI and end-to-end analytics delivery (experience)
  • Proven ability to translate data into commercial outcomes (experience)
  • Strong stakeholder management, communication, and problem-solving skills (experience)
  • Able to manage multiple priorities and work independently under pressure and tight timeline (experience)
  • Good understanding of data governance and quality principles (experience)
  • Experience in MPF, insurance, and customer analytics is highly preferred (experience)

Responsibilities

  • Lead design, development, and optimisation of scalable data assets (data marts, pipelines, and models) ensuring quality, governance, and usability
  • Drive integration and utilisation of data across enterprise functions to enable holistic member analytics and opportunity identification
  • Translate business priorities into actionable analytics use cases with measurable impact
  • Deliver advanced analytics and insights (e.g. segmentation, propensity, engagement drivers) to support member penetration and sales opportunities
  • Partner closely with stakeholders to define roadmap, KPIs, and ensure adoption of data-driven decision making
  • Develop storytelling materials to communicate insights to senior stakeholders
  • Lead and coach junior team members, driving capability uplift and delivery excellence
  • Support data platform migration initiatives, ensuring alignment of business requirements
  • Support ad-hoc data analysis and extraction within short turnaround time

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