Senior Manager, AI & Analytics

The Opportunity:

This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI-enabled opportunities that improve employee productivity, strengthen customer engagement and accelerate revenue growth. The position is the key AI practitioner in Manulife and works in strong collaboration with the Asia Regional AI Centre of Excellence, Data Office, IT, and cross‑functional business stakeholders to translate strategic priorities into scalable AI solutions and drive enterprise adoption plans.

The incumbent is accountable for end‑to‑end delivery of AI, Generative AI and advanced analytics use cases from discovery and value sizing, to solution design, prompt engineering and evaluation, to deployment, adoption and ongoing performance monitoring. The role also requires strong stakeholder leadership building trusted relationships with business leaders, aligning diverse stakeholder groups around priorities, communicating AI concepts in clear business language, and influencing decisions through articulation of value, risks, trade‑offs and change implications.

Position Responsibilities

Business partnering & stakeholder engagement: build strong relationships with Marketing and adjacent business leaders (e.g., Agency, Bancassurance, Operations) to identify AI opportunities, clarify business pain points, align priorities, and maintain a value‑driven AI backlog that is jointly owned and understood by stakeholders.
Advanced analytics & machine learning: develop and enhance models such as propensity/segmentation, campaign targeting, performance analytics, lapse and anti‑attrition models; support ongoing monitoring and enhancement of existing models and ensure local relevance through calibration and stakeholder feedback.
GenAI solution delivery & prompt engineering: develop and implement cutting‑edge machine learning models to tackle complex business challenges, utilizing a diverse range of algorithms and techniques, with a primary emphasis on AI tech patterns like RAG and Multi‑Agent approach; collaborate with Data engineers and IT Subject Matter Experts (SMEs) to gain a deep understanding of source data and harness large datasets to prepare and optimise data for the development of solutions.
Adoption, communication & change enablement: work with IT and People to activate employee adoption through playbooks, training, stakeholder communications and a community of practice; articulate the business value of AI solutions clearly to different audiences, coach business users on how to embed AI into daily workflows, and measure adoption and realised benefits.
Standards & responsible AI: contribute to AI governance processes by maintaining use‑case inventory, supporting risk/controls assessments, monitoring solution performance, and promoting cost‑optimised and responsible usage of AI services.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Actuarial Science, Statistics or related quantitative field
8+ years of experience in analytics, data science, AI / GenAI solution delivery
Strong proficiency in Python and SQL; experience with analytics/ML libraries and building repeatable data pipelines.
Working knowledge of modern GenAI patterns (prompt engineering, RAG, tool/function calling, agentic workflows) and experience using enterprise platforms such as Azure OpenAI, Microsoft Copilot and Copilot Studio.
Working knowledge of GenAI orchestration packages like LangChain, LangGraph, as well as a deep understanding of agile solution development principle
Experience with cloud and data platforms (e.g., Azure, Databricks/Spark) and basic MLOps practices (versioning, monitoring, evaluation, release management).
Strong ability to translate business needs into AI solution designs, communicate complex technical concepts in simple business language, and influence stakeholders across different seniority levels.
Strong stakeholder management, executive communication and change leadership skills; able to build credibility with senior business stakeholders, facilitate alignment across cross‑functional teams, and articulate AI strategy, use‑case value and delivery trade‑offs with clarity and confidence.

Preferred Qualifications

Hands‑on experience on Agentic AI
Experience in insurance (life/health), marketing analytics, customer segmentation or distribution analytics is strongly preferred.

When you join our team

We’ll empower you to learn and grow the career you want.
We’ll recognise 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.

關於宏利和恒康

宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽 https://www.manulifeim.com/institutional/tw/en。

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 hr@manulife.com。

Working Arrangement

混合式

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