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Develop and manage AIA’s bancassurance partnership with BEA by achieving insurance sales and branch KPIs, building relationships with bank leaders and frontline staff, and creating demand for AIA products. Provide product and sales training, coaching, operational support, and application-processing assistance. Communicate sales and marketing programs, organize localized bank events, monitor sales productivity, and ensure compliance with regulatory requirements and company policies.

Own and enhance agency recruitment and financing platforms, managing requirements, product backlogs, Agile delivery, UAT, testing, production support, and system stability. Partner with stakeholders to identify process improvements, analyze agency metrics, deliver complex core and digital projects, and support day-to-day platform operations. Ensure governance, availability, business continuity, and effective user experiences for the agency distribution channel.

Supports IT solution delivery and process improvements through business analysis, requirements gathering, workflow documentation, and stakeholder collaboration. Leads SIT and UAT activities, develops test scenarios and scripts, evaluates test outcomes, and manages defect remediation. The role also facilitates requirements clarification with developers and testing teams and identifies improvements to business and IT processes.

Develop and deliver training curricula covering insurance products, services, and selling techniques for agents and partners. Conduct gap analyses, create training plans and materials, coordinate training sessions, evaluate program effectiveness, and implement improvements. The role also supports workflow enhancement, business policy alignment, and long-term growth.

Maximize sales of AIA products and services through bank partnerships. Build long-term relationships with key bank decision-makers, create customer demand, and develop and administer sales and distribution programs for the bancassurance channel. Manage assigned accounts or support broader account teams while achieving individual and team sales quotas and AIA business objectives.

Develops scalable, interpretable AI and machine learning models that identify business opportunities, optimize performance, and support data-driven decision-making. Responsibilities include preparing datasets, creating predictive models, deploying analytic data products, communicating insights, educating stakeholders on data value, and improving workflows.

Leads end-to-end technology delivery for insurance product, campaign, healthcare, wellness, risk, and proposition initiatives. Translates business needs into technical solutions, manages onshore and offshore teams, vendors, project governance, testing, deployment, production support, and stakeholder communications. Drives responsible AI adoption using GitHub Copilot, enterprise LLMs, Copilot Studio, and internal AI agents, while improving automation, customer outcomes, service quality, and team capability.

Reviews and underwrites life insurance applications within delegated authority and service standards. Handles complex cases, re-underwriting, health disclosures, complaints, appeals, and retrospective reviews. Provides technical guidance to colleagues and distribution teams, supports underwriting training, identifies process improvements, and contributes to customer onboarding and cross-functional initiatives.

Supports business underwriting for group insurance by pricing employee benefits products, assessing risk, monitoring portfolio profitability, developing products, analyzing experience, and managing reinsurance reporting and treaties. Collaborates with senior management, finance, actuarial, group office, intermediaries, reinsurers, industry associations, and regulators to support strategic and financial objectives.

Supports digital solution initiatives through stakeholder requirements gathering, business process documentation, UAT planning, project governance, production support, user training, knowledge management, and platform administration. The role resolves system issues, identifies process improvements, manages user enquiries, supports post-implementation activities, and performs data transformation and panel listing uploads while collaborating across business and technology teams.