Head, MediAsas Analytics

About the role

We are seeking an experienced analytics leader to head the MediAsas Analytics Unit, with a core focus on Diagnosis-Related Group (DRG), Care Outcome, and Fraud, Waste & Abuse (FWA) analytics.

Reporting to the Chief Business Officer, you will lead the development of data-driven insights that support healthcare quality, provider performance, programme effectiveness and strategic decision-making. You will also play a key role in strengthening ProtectHealth's capabilities towards becoming a Centre of Excellence for DRG and COFWA analytics.

What You’ll Do

• Lead the strategy, direction and delivery of MediAsas Analytics.
• Lead analytics supporting DRG rate establishment, maintenance, evaluation and revision.
• Drive Care Outcome and FWA analytics across Fee-for-Service (FFS) and DRG arrangements.
• Oversee provider performance, healthcare trend, risk profiling and programme analytics.
• Provide strategic insights and evidence-based recommendations to Management.
• Lead dashboards, predictive analytics, business intelligence and performance measurement initiatives.
• Strengthen data governance, analytical quality and reporting standards.
• Drive adoption of automation, AI and advanced analytical capabilities.
• Collaborate with ITO Management, Provider Management, Digital Technology, Business Solution and other key stakeholders.
• Present analytical findings to senior management, committees and relevant external stakeholders.
• Lead, coach and develop a high-performing analytics team.

What we're looking for

• Bachelor's Degree in Actuarial Science, Analytics, Data Science, Statistics, Mathematics, Health Economics, Healthcare/Health Sciences or a related discipline.
• Minimum 10 years of relevant experience in healthcare/medical analytics, medical claims, healthcare financing, health insurance/takaful, ITO/TPA or a similar environment.
• Previous leadership or managerial experience is strongly preferred.
• Experience in DRG/case-mix, healthcare claims, provider analytics, healthcare cost analysis and/or FWA is highly advantageous.
• Strong knowledge of business intelligence and analytical technologies such as Power BI, Python, SQL and predictive analytics tools.
• Strong strategic thinking, stakeholder management and executive communication skills.