Large-scale catering operations in Saudi Arabia are expanding while major catering, remote-site catering, energy, logistics and industrial programmes increase the scale and complexity of occupational risk. Conventional food safety management remains essential, yet lagging indicators, periodic inspections and rule-based controls often identify deterioration only after exposure has accumulated. This structured review develops an risk-based digital food safety and HACCP governance framework suited to Saudi operating conditions. It integrates leading indicators from records, inspections, sensors, equipment systems, food-service workforce records, environmental monitoring and food-safety incident narratives; applies transparent risk models; and routes predictions through human review and proportionate controls. The synthesis shows that digital food-safety analytics can improve prioritisation, early-warning capability and learning across dispersed sites, but only when data quality, privacy, food-service workforce participation, model drift, cybersecurity and accountability are governed explicitly. The proposed framework therefore treats digital food-safety analytics as a decision-support layer within an ISO 22000-aligned management system, not as an autonomous replacement for competent safety judgement. Its principal contribution is a risk-based operating model linking data governance, prediction, verification, intervention and continuous assurance to Saudi Vision 2030 objectives.