Data Analytics & AI Manager

Daiichi Life Vietnam is a fast-growing, multi-channel life insurer. The Data Analytics & AI function is building business-focused analytical solutions that support growth, persistency, customer service and claims decisions. We are seeking a commercially minded Data Analytics & AI Manager who can connect business priorities, customer needs, analytics and operating processes, ensuring that models are translated into usable interventions and measurable financial outcomes.

Accountabilities:

1/ ANALYTICS PRODUCT MANAGEMENT

• Frame business opportunities as clearly defined analytics products, including the target user, decision, population, intervention, success measure and operating constraints.

• Own and prioritize the product backlog for assigned use cases, such as upsell / cross-sell, renewal premium collection, persistency and claims intelligence.

• Translate business requirements into user stories, analytical requirements, workflow designs, dashboards and acceptance criteria.

• Lead cross-functional delivery across Data Science, Data Engineering, BI, CRM, IT and business teams throughout discovery, development, testing, pilot and rollout.

• Ensure model outputs are converted into practical actions, including customer lists, recommended products, channels, timing, messages, referral levels and reason codes.

2/ IMPLEMENTATION, ADOPTION & VALUE REALIZATION

• Design controlled pilots and rollout plans with clear treatment, control, capacity, adoption and success thresholds.

• Develop action playbooks, operating procedures, communication materials and user training with relevant business teams.

• Monitor product adoption, customer outcomes, operational capacity and incremental business value; recommend scaling, refinement or retirement.

• Facilitate stakeholder decisions, manage dependencies and escalate risks, issues and changes in a timely manner.

• Maintain product documentation and ensure privacy, fairness, customer-treatment and model-governance requirements are incorporated from design through operation.

REQUIREMENTS:

• Bachelor degree in Business, Economics, Finance, Insurance, Actuarial Science, Data Analytics, Information Systems or a related field.

• Minimum 5-8 years of experience in insurance, analytics, CRM, customer strategy, product management, business transformation or consulting.

• Strong understanding of business-process design, requirements gathering, product backlog management and cross-functional delivery.

• Practical knowledge of analytics concepts such as segmentation, propensity models, next-best-action, experimentation and KPI measurement; advanced coding is not required.

• Strong knowledge of life insurance operations, distribution, customer service, persistency or claims is highly preferred.

• Demonstrated ability to influence stakeholders, manage competing priorities and drive adoption of new ways of working.

• Strong presentation, facilitation and business-writing skills, with fluency in English.

• Experience with Agile delivery, CRM / campaign platforms, Power BI or analytics implementation is an advantage.