Assistant Manager, Enterprise Intelligence & Analytics

About the role

National University Health System (NUHS) is recruiting an Assistant Manager, Enterprise Intelligence & Analytics for the new Tengah General and Community Hospital (TGCH) in Tengah Forest Town. This foundational digital, data and technology role builds the enterprise data and analytics layer that supports TGCH's Enterprise Planning Platform and future operational intelligence. It connects data across demand, capacity, workforce, finance and operations so the hospital can make better enterprise-level decisions from planning through ramp-up and post go-live.

Key responsibilities

• Identify, acquire, consolidate and manage data from sources such as MOH and GCCP planning datasets, national census and demographic data, operational activity and utilisation data, workforce and HR data, financial data, and service, infrastructure and capacity planning data.
• Turn disparate data sources into structured, documented and reusable enterprise planning datasets, supporting data governance, quality assurance, validation and version control.
• Run analyses for demand, service, capacity, workforce and financial planning, turning complex datasets into insights for strategic and operational decisions.
• Support planning assumptions, scenario analyses and forecasting, and evaluate the implications of demand changes, service redesign, policy shifts and operational strategies.
• Design, develop 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 and data structures.
• Support AI-enabled analytics and decision support, exploring generative AI, predictive analytics, machine learning, natural language query, retrieval-augmented workflows, process mining, pattern detection 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, Human Resources, Finance, IT and Digital teams, and cluster and system-level planning partners, presenting findings clearly and bridging business questions, data needs and technology solutions.

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 data integration, ETL, statistical analysis, forecasting and scenario analysis.
• Familiarity with AI, machine learning and Generative AI is advantageous.