Chief Data Officer

Milvik; Singapore; On-site; SGD 150,000 - 200,000; Full time

Job summary

A global healthtech company in Singapore seeks a dynamic Chief Data Officer to define BIMA's enterprise data and AI strategy. You will ensure that data and AI capabilities become strategic assets, leading multi-year planning for analytics platforms and driving data-driven transformations. The ideal candidate has extensive experience in analytics and data science, strong SQL and Python skills, and a proven track record in senior operational roles, preferably within Fintech.

Qualifications

• Highly experienced in analytics, data science, or related roles.
• Proven experience as a Chief Data Officer or in a relevant senior operations role.
• Hands-on experience with predictive modelling and machine learning techniques.

Responsibilities

• Define and own BIMA’s Data & AI strategy and roadmap.
• Own the end-to-end data architecture across BIMA.
• Ensure delivery of accurate, trusted, and timely reporting.
• Lead BIMA’s AI strategy from experimentation to production.
• Define and enforce data governance standards across markets.

Skills

Expertise in analytics and data science

Strong SQL proficiency

Proficiency in Python

Leadership and communication skills

Ability to work independently

Education

Bachelor’s or Master’s Degree in Data Science, Analytics, Statistics, or Computer Science

Tools

Microsoft SQL Server

Job description

Overview

Location: Singapore

About Us & Role: Milvik Bima is a Singapore based global healthtech company dedicated to providing insurance via mobile phone technology to low income consumers across the globe. We are looking for a dynamic and experienced Chief Data Officer to define and execute BIMA’s enterprise data and AI strategy to support growth across insurance, health, and digital distribution markets.

This role ensures that data, analytics, and AI capabilities are strategic assets — enabling better decision-making, scalable operations, regulatory compliance, and differentiated customer experiences across all BIMA markets.

The CDO operates at the intersection of business strategy, technology, and execution, translating complex operational realities into scalable data platforms, actionable insights, and production-ready AI systems.

Responsibilities

1. Enterprise Data & AI Strategy

• Define and own BIMA’s Data & AI strategy and roadmap aligned with company objectives and multi-market growth plans
• Translate business priorities (sales growth, cost control, claims efficiency, customer experience) into concrete data and AI initiatives
• Lead multi-year planning for analytics platforms, AI capabilities, tooling, and talent
• Act as executive owner for data-driven transformation initiatives

2. Data Architecture & Platforms

• Own the end-to-end data architecture across BIMA, including:

• Operational systems
• Data warehouses and marts
• Analytics abstraction layers
• Reporting and self-service analytics

3. Analytics, Reporting & Decision Support

• Ensure delivery of accurate, trusted, and timely reporting for:
• Executive leadership
• Finance and budgeting
• Sales and operations
• Market and product performance
• Define common metrics, definitions, and analytical models across markets
• Reduce dependency on ad-hoc reporting by establishing reusable, governed analytics layers
• Enable data-driven decision-making at all organizational levels

4. AI & Advanced Analytics

• Lead BIMA’s AI strategy from experimentation to production
  • Conversational AI (sales, customer service, clinical support)
  • Document understanding and automation
  • Decision-support and reasoning systems
  • Ensure AI systems are:
• Scalable across markets
• Latency-aware and production-ready
• Monitored for quality, performance, and cost
• Balance innovation with operational reliability and compliance

5. Governance, Quality & Compliance

• Define and enforce data governance standards across markets
• Ensure data quality, consistency, lineage, and auditability
• Partner with Legal, Compliance, and Risk teams to ensure adherence to:
• Local regulations
• Data privacy requirements
• Healthcare and insurance-specific constraints
• Establish clear ownership and accountability for critical data assets

Qualifications

• Bachelor’s or Master’s Degree in Data Science, Analytics, Statistics, Computer Science, or related field

• Highly experienced in analytics, data science, or related roles

• Proven experience as a Chief Data Officer or in a relevant senior operations role, ideally within Fintech

• Strong proficiency in SQL and Microsoft SQL Server

• Proficiency in Python

• Proven experience in statistical analysis, forecasting, and revenue analysis

• Hands-on experience with predictive modelling and machine learning techniques

• Strong leadership, stakeholder management, and communication skills

• Ability to work independently and lead cross-functional teams

• Experience in building analytics strategies at an organizational or enterprise level