Singapore, Singapore
Sutowo has over 20 years of experience spanning consulting and healthcare, he brings a unique blend of strategic vision, technical expertise, and implementation excellence to help organisations become "Data Ready, AI First." He currently leads the AI x Data practice in Temus, advancing Singapore's Smart Nation vision by helping organisations harness AI, data, and automation to create human-centered digital solutions that drive meaningful business outcomes and enhance citizen experiences. Prior to joining Temus, Sutowo served as Divisional Director of Health Analytics at Singapore's Ministry of Health, where he led multi-disciplinary teams applying AI, machine learning, and advanced analytics to drive policy formulation, service planning, and operations. Before his Public Sector leadership role, Sutowo held senior positions in Accenture, Deloitte, and OgilvyOne, driving customer analytics, risk management, operations research, and AI-driven transformation initiatives with organisations across healthcare, pharmaceuticals, financial services, telecommunications, consumer goods, travel & hospitality and retail in Southeast Asia, China, India, and Japan. He is an effectively bilingual (English and Chinese) Data Analytics and AI leader with experience in large and complex digital transformation programmes. The largest transformation programme (~$100 million budget) required him to work with more than 200 stakeholders, integrate diverse requirements and manage trade-offs. Beyond his areas of expertise, he served as a member in National Volunteer and Philanthropy Centre (NVPC) Board’s Digital Committee where he advises them on Digital Innovation. He was also member in SingHealth Board’s Service Excellence Committee (SEC) where he worked closely with them to optimise patient experience.
Role: • Scale AI responsibly and practically—in a way that moves beyond experimentation to real-world outcomes • Build next-gen data platforms and capabilities that empower decision-makers across sectors • Grow teams, mentor talent, and shape culture—because transformation is always more about people than tech
As Faculty Advisor, I play a critical role in the following areas: • Mentor and guide the teams stay on track to complete their proposals/products/inventions for presentation at the MGC Finale. • Guide the teams overcome obstacles that can prevent them from succeeding. • Facilitate access to appropriate campus resources for the teams to complete their proposals/products/inventions. • Motivate the teams to identify clinical problems/issues and propose innovative ideas and solutions to meet the unmet healthcare challenges. • Provide guidance and advice to the MGC Student Committee to improve the continuity of the event.
Terms of Reference: a. Advise on NVPC’s Digital strategy needed to support the vision of making Singapore into a City of Good. b. Review NVPC’s Information Technology policies and plans for implementing the strategy. c. Provide advice on major acquisitions, including the platform and vendor selection. d. Provide guidance on Information Technology trend and direction appropriate to NVPC. e. Facilitate stakeholder engagements to connect and support NVPC with the public sectors, digital sectors, and communities of relevance.
Divisional Director, Health Analytics – April 2021 to Present Role: • Built a ~50 FTE Health Analytics Division (HAD) comprising data scientists, data analysts, biostatisticians and economists through a further consolidation of Analytics functions with the goal of providing actionable insights and empowering MOH to make evidence-based decisions. This role reports to Group Director of Planning • HAD comprises the following functional areas: Artificial Intelligence (AI), programme evaluation, healthcare capacity planning, biostatistics, geospatial analytics, data visualisation, surveys and capability development Achievements: • Led National Healthcare AI Strategy and developed ecosystem enablers to scale use cases nationally e.g. diabetic retinopathy detection • Set up a new unit and implemented Programme Evaluation Framework to allocate resources for the programmes in MOH, HPB and Public Healthcare Clusters • Projected long-term healthcare demand and cost, identified their key drivers through sensitivity analysis and worked with Policy Divisions to plan for future capacity and design policies to reduce cost and achieve population health outcomes • Co-developed geospatial tool with Urban Redevelopment Authority (URA) to support population health and health services planning e.g. analysis of catchment areas and utilisation patterns of healthcare providers • Developed and implemented Analytics competency framework and training roadmap to guide capability development for MOH and Public Healthcare Family
Terms of Reference: • Assist the Board in providing strategic focus and direction on transformation of a unified Service Excellence culture and overall service delivery throughout SingHealth cluster • This is aimed at optimising patient experience and satisfaction in major touchpoints, at a level befitting of SingHealth as Singapore’s and the region’s Academic Medical Centre Role: • Provided strategic direction for SingHealth’s Service Excellence Framework and performance indicators • Reviewed and monitored SingHealth’s progress in the implementation of the framework through relevant management reports and patient satisfaction indicators
Divisional Director, Analytics & Information Management – February 2018 to March 2021 Role: • Reviewed MOH’s Analytics operating model, led the re-organisation of existing Analytics Divisions and set up Data Analytics Group to realise MOH’s ambition of becoming a data-driven organisation • Set up a new ~40 FTE Analytics & Information Management Division comprising data architects, data strategists, data engineers, data scientists and data analysts. This role reported to Group Director of InfoComm, Technology and Data Achievements: • Developed the data architecture and IT infrastructure to support analytics needs of MOH, HPB, HSA, Professional Boards, AIC, MOHH, MOHT, Public Healthcare Clusters, Researchers and Industry Partners • Implemented data lake and data sharing platform to consolidate, manage and exploit MOH’s data assets from 70 data sources • Partnered with Personal Data Protection Commission (PDPC) to develop data governance model for MOH’s data lake, establish the legal basis for data collection and implement data protection safeguards to meet PDPA requirement • Delivered priority use cases e.g. bundled payment, bill prediction, claims outlier detection, medical escort service optimisation, specialist attrition prediction, end-to-end service journeys for COVID-19 patients • Chaired a Technical Review Committee comprising members from MOH, Synapxe and Public Healthcare Clusters to identify immediate remediation and longer term roadmap for a troubled national-level IT implementation.