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Manulife Financial

Global financial services: insurance and investments

Director AI Product & Business Partner - Distribution

Product ManagementConfirmed live in the last 24 hours
Full-timeHong KongNo salary listedHybrid

About the Job

Requirements

  • A Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Actuarial Science, Economics, Business Analytics, or a related discipline is required.
  • At least 10 years of experience in AI, data science, advanced analytics, digital product management, or related fields.
  • A proven track record of partnering with senior business leaders and influencing strategic decisions.
  • Experience leading cross-functional teams and delivering business transformation initiatives.
  • Demonstrated success delivering AI, analytics, or digital products that generated measurable business outcomes.
  • Knowledge of machine learning, predictive analytics, optimization techniques, and statistical modelling.
  • Experience with Generative AI, large language models, AI agents, and enterprise AI solutions.
  • Working knowledge of Python, SQL, and modern analytics platforms.
  • Experience working with large-scale enterprise data environments.
  • Understanding of AI governance, model risk management, and responsible AI practices.
  • Ability to translate technical concepts into business language for executive audiences.
  • Ability to connect AI investments to business outcomes, with strong business and commercial acumen.
  • Stakeholder management and influencing skills.
  • Communication and executive presentation skills.
  • Ability to lead cross-functional teams in complex organizational environments.
  • Execution focus and demonstrated ability to deliver measurable business value.

Responsibilities

  • Lead the Distribution Domain Squad and act as the primary AI partner to Distribution leadership.
  • Develop and maintain the Distribution AI and analytics roadmap aligned with business strategy and growth objectives.
  • Identify, prioritize, and sponsor high-value AI and analytics use cases that improve sales productivity, lead generation, customer engagement, advisor effectiveness, and distribution performance.
  • Partner with senior business stakeholders to define opportunities, investment priorities, success metrics, and expected business outcomes.
  • Establish a culture of data-driven decision-making across Distribution functions.
  • Build relationships with Distribution executives, sales leaders, and channel heads.
  • Translate business challenges into AI and analytics opportunities with clear value realization plans.
  • Advise business leaders on AI, advanced analytics, Generative AI, and emerging technologies.
  • Drive executive-level discussions on AI strategy, prioritization, risks, and expected business impact.
  • Own the Distribution AI product portfolio and roadmap.
  • Lead end-to-end delivery of AI and analytics initiatives from opportunity identification through deployment and business adoption.
  • Work with business and technology stakeholders to define product vision, requirements, success metrics, and delivery priorities.
  • Ensure solutions are embedded into business processes and decision-making workflows.
  • Define and track KPIs to measure adoption, business value, productivity gains, revenue uplift, and customer impact.
  • Drive realization of business benefits and communicate outcomes to senior management.
  • Apply advanced analytics, machine learning, and Generative AI to Distribution business challenges, including sales productivity and advisor effectiveness; lead generation and propensity modelling; customer segmentation and personalization; cross-sell and upsell opportunities; customer retention and persistency improvement; distribution performance management; and AI-powered sales and advisor assistants.
  • Evaluate emerging AI capabilities and identify opportunities to scale successful solutions across the enterprise.
  • Ensure compliance with regulatory requirements, model governance standards, responsible AI principles, and enterprise AI controls.
  • Partner with Risk, Compliance, Legal, and Technology teams to ensure appropriate oversight throughout the AI solution lifecycle.
  • Support model monitoring, performance tracking, and ongoing governance activities.
  • Lead a Distribution Domain Squad comprising data scientists, AI engineers, and cross-functional delivery partners to deliver measurable business outcomes.
  • Drive squad planning, prioritization, and execution against the Distribution AI roadmap.
  • Partner with Distribution leadership and cross-functional stakeholders to accelerate adoption of AI solutions.
  • Promote customer focus, business value realization, and continuous improvement.
  • Develop squad capabilities in AI, analytics, and business consulting while creating a high-performing delivery environment.

Desired Qualifications

  • A Master's degree is preferred.
  • Previous experience within life insurance, wealth management, banking, or financial services is strongly preferred.
  • Understanding of insurance distribution channels, sales management, and customer acquisition strategies is preferred.

About the Company

Manulife Financial

Global financial services: insurance and investments

Manulife Financial is a global financial services provider offering a wide range of insurance and investment solutions. It serves individuals, businesses, and institutions with products such as life and health insurance, wealth management, and retirement plans. Customers fund these products through premiums, fees for asset management, and investment income earned on invested assets. Manulife uses analytics and technology to tailor services and improve efficiency, aiming to help clients protect their finances, grow their wealth, and plan for retirement. The company differentiates itself through its large international presence in North America, Asia, and Europe, its breadth of products, and its emphasis on data-driven insights to personalize offerings. Its goal is to help customers achieve their financial goals and aspirations by providing comprehensive, paid-for financial solutions and ongoing support across multiple regions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1887

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