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 optimize 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 realized benefits.

Standards & responsible AI: contribute to AI governance processes by maintaining use-case inventory supporting risk/controls assessments monitoring solution performance and promoting cost-optimized and responsible usage of AI services.

Required Qualifications:

Bachelors 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:

• Well empower you to learn and grow the career you want.

• Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team well support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider helping people make their decisions easier and lives better. To learn more about us visit is an Equal Opportunity Employer

At 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 .