Position Responsibilities:

• Leverage data and advanced analytics techniques based on in-depth understanding of health business.

• Build machine learning and GenAI solutions across health value chain.

• Transform analytical insights and solutions into business actions with measurable benefits and integrating them into workflow process.

• Utilize data science expertise to design and implement Health AI solution evaluation and monitoring frameworks.

What motivates you?

• You obsess about customers, listen, engage and act for their benefit.

• You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.

• You thrive in teams and enjoy getting things done together.

• You take ownership and build solutions, focusing on what matters.

• You do what is right, work with integrity and speak up.

• You share your humanity, helping us build a diverse and inclusive work environment for everyone.

Required Qualifications:

• 6+ years of experience in Data Science and Machine Learning, preferably within the retail financial services industry, prior experience in health/insurance/reinsurance domain is a huge plus

• Hands-on experience of multivariate analysis, modeling, segmentation and Health/claims analytics using statistical techniques

• Expert in both concept and building AI/ML models, also in using data mining languages /tools eg, some or all of Python, SAS, R, SQL or equivalents

• Experience in any big data/ cloud solution of Azure, Hadoop, Hive, Spark etc. is a plus

• Strong experience in deploying analytics solutions including targeting, test and control development, response tracking and analysis

• Experience translating complex business problems into analytical requirements and propose actionable solutions based on internal and external best practice.

• Strong communication and presentation skills. Ability to persuade a wide range of colleagues

• Ability to lead and build an initiative from scratch and to handle high level of ambiguity

• Able to maintain strong, productive relationships with stakeholders and external partners

• Able to work independently as well as a good team player

• Highly regulated business environment by nature

• Some analytical solution is difficult to measure the exact financial impact, or right on the path but no immediate big financial impact and how to align stakeholders

• Data availability and data quality issues in certain markets can always be challenges to build sound analytical solutions

• Deploy analytical findings require multiple efforts from multiple stakeholders from both regional and local

• Manage stakeholders with conflicting objectives/priorities

On the job you will:

• Deliver machine learning, Generative AI, and advanced analytics capabilities across the health value chain, from prevention and engagement to claims, provider insights, and customer experience.

• Lead the design, development, deployment, and continuous improvement of Health AI solutions across Asia markets, ensuring measurable business and customer outcomes.

• Track, evaluate, and report AI project benefits, model performance, adoption, and operational impact; identify improvement opportunities and new Health AI use cases.

• Support the health data strategy by improving data quality, optimizing internal data assets, identifying relevant external health and clinical data sources, and strengthening data governance practices.

• Develop predictive, prescriptive, and GenAI enabled solutions that support profitable growth, proactive risk management, personalized health engagement, claims efficiency, and better customer outcomes.

• Collaborate with global, regional, and in market teams to establish Health AI modeling standards, reusable solution patterns, governance frameworks, and responsible AI practices aligned with AI CoE standards.

• Establish and maintain a regional model and AI solution repository to capture, monitor, diagnose, and continuously improve models and AI assets in production.

• Provide expert guidance to in country analytics and AI teams on advanced quantitative analysis, model development, GenAI solution design, evaluation methods, and domain specific interpretation.

• Translate complex health business needs into clear analytical requirements and scalable AI solutions, balancing speed to market, technical rigor, regulatory expectations, and operational feasibility.

• Enable more effective engagement with prospects, customers, advisors, and distribution partners through data driven targeting, personalization, next best action recommendations, and health insight solutions across channels.

• Guide in country AI teams in designing, developing, and interpreting campaigns and Health AI initiatives, with strong analytical rigor and clear measurement of outcomes.

• Support bancassurance, digital, agency, and direct channels by applying analytics and AI to improve targeting, offer personalization, health engagement, and sales efficiency.

• Identify market, product, channel, and health journey specific challenges, and propose practical AI and analytics solutions that are customer centric, scalable, and compliant.

• Partner with regional and BU stakeholders to prioritize Health AI initiatives, optimize decisions and activities, and align use cases with strategic business value and customer needs.

• Build regional and BU level result tracking, reporting, and best practice capabilities for AI-enabled campaigns, health analytics initiatives, and model driven business programs.

• Identify root causes of underperformance and recommend actionable improvements across data, model design, deployment, adoption, and business execution.

• Escalate emerging risks early and define mitigation actions for markets, including model risk, data limitations, adoption barriers, and regulatory or operational constraints.

• Develop annual Health AI business plans, roadmaps, priorities, and targets in collaboration with regional and local market stakeholders.

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 https://www.manulife.com/en/about/our-story.html.

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.

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.