Restaurant Revenue & Digital Operations Manager (CCP PMET)

About the Role

The Restaurant Manager position is being redesigned from a conventional floor-management role into a data-driven commercial role. The Manager will be accountable not only for service and staff but also for revenue optimisation, demand forecasting, digital operations, customer intelligence, labour productivity and measurable commercial improvement.

Key Responsibilities

• Use cloud POS and BMG dashboards to analyse sales by hour, product, service period and customer behaviour.

• Forecast restaurant demand using hotel occupancy, reservations, historical trends, events and other relevant factors.

• Coordinate staffing, food preparation, purchasing and promotions against forecast demand.

• Track average spend, table turnover, product attach rate, service time and promotional results.

• Recommend bundles, menu pricing, happy-hour mechanics and revenue initiatives using data.

• Use AI-assisted smart rostering to align staffing with expected demand.

• Work with the Head Chef and Procurement team on predictive ordering, PAR levels and just-in-time inventory.

• Analyse diner profiles and preferences.

• Develop targeted offers and personalised recommendations.

• Measure Capsule Social Modern-to-Gabriel and Gabriel-to-hotel conversion.

• Test restaurant technology workflows and report usability issues.

• Produce management dashboards with recommended actions rather than only operating figures.

CCP Growth Skills

• Revenue Optimisation

• Data Analytics

• Technology Adoption and Innovation

• Digital Marketing

Structured Career Conversion

The selected employee may undergo up to 24 weeks of OJT covering restaurant analytics, forecasting, digital POS data, AI-assisted scheduling, customer intelligence and revenue optimisation.

Suitable Background

Candidates may come from F&B, hospitality, retail, service operations, outlet operations, customer service or other people-management environments. Candidates with transferable management experience who have not previously operated a data-led restaurant revenue function are welcome to apply.