Assistant Manager, Enterprise Intelligence & Analytics

About the role

The new Tengah General and Community Hospital (TGCH) in Tengah Forest Town is a state-of-the-art health campus within the NUHS cluster, expected to be ready by the early 2030s. This is a foundational Digital, Data & Technology role that builds the enterprise data and analytics layer supporting TGCH's Enterprise Planning Platform and future operational intelligence. It connects data across demand, capacity, workforce, finance and operations to support planning, operational readiness and data-driven decisions.

Key responsibilities

• Identify, acquire, consolidate and manage data from sources such as MOH and GCCP planning datasets, national census and demographic data, operational and workforce datasets, financial data and service, infrastructure and capacity planning data.
• Turn disparate sources into structured, documented and reusable planning datasets, and support data governance, quality assurance, validation and version control.
• Run analyses for demand, service, capacity, workforce and financial planning, turning complex data into insights for strategic and operational decisions.
• Support planning assumptions, scenario analyses and forecasting, and evaluate the implications of demand changes, service redesign and policy shifts.
• Design and maintain dashboards and visual analytics for demand monitoring, capacity planning, workforce tracking, financial planning, operational readiness and enterprise performance.
• Prepare, structure and maintain the data layer for the Enterprise Planning Platform, integrate new data sources and build analytical models.
• Support AI-enabled analytics and decision support, exploring generative AI, predictive analytics, machine learning, natural language query, retrieval-augmented workflows, process mining and scenario modelling.
• Support analytics for hospital commissioning, service activation and ramp-up planning, including workforce ramp-up, capacity monitoring and benefits realisation.
• Work with Enterprise Strategy & Planning, Clinical Services, Operations, HR, Finance, IT and Digital teams, and present findings clearly to stakeholders.

Required profile

• Degree in Data Science, Statistics, Business Analytics, Information Systems, Computer Science, Engineering, Economics, Operations Research or a related discipline.
• 3 years of experience in data analytics, business intelligence, planning analytics, data integration or related fields.
• Experience with large, complex or multi-source datasets.
• Healthcare, public sector planning, infrastructure planning or complex operational experience is advantageous.
• Candidates with more relevant experience may be considered for the Senior Assistant Manager level.

Required skills

• Strong SQL, with Power BI, Tableau or equivalent visualisation tools.
• Working knowledge of Python, R or similar tools, and strong Excel and data modelling skills.
• Familiarity with ETL, statistical analysis, forecasting and scenario analysis.
• Familiarity with AI, machine learning and Generative AI is advantageous.