Senior Manager, AI & Analytics

Manulife; Kuala Lumpur; Hybrid; MYR 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working environment

Diversity and inclusion initiatives

Career development opportunities

Job summary

Manulife in Kuala Lumpur is looking for an experienced AI Practitioner to lead AI-enabled opportunities. This role focuses on partnering with business leaders to improve productivity and customer engagement, utilizing advanced analytics and machine learning.

The ideal candidate should possess a Bachelor's degree in a relevant field, have extensive experience in AI solution delivery, and be proficient in Python and SQL. A hybrid working arrangement is offered, emphasizing a culture of diversity and inclusion.

Qualifications

• 8+ years of experience in analytics, data science, AI/GenAI solution delivery.
• Strong ability to translate business needs into AI solution designs.
• Experience with cloud and data platforms (e.g., Azure).

Responsibilities

• Build strong relationships with stakeholders to identify AI opportunities.
• Develop and enhance models for analytics and performance.
• Drive enterprise adoption of AI solutions through training and communication.

Skills

Proficiency in Python

Proficiency in SQL

Machine learning models

Stakeholder management

Communication skills

Data pipeline construction

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Azure OpenAI

Microsoft Copilot

Databricks/Spark

LangChain

LangGraph

Job description

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.

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 SMEs to gain deep understanding of source data and harness large datasets to prepare and optimize data for 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 a 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, and a deep understanding of agile solution development principles.
• 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 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.

Working Arrangement

Hybrid

Manulife 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.

To request a reasonable accommodation in the application process, please contact [e-mail].