VINCI Highways is a leading international roadway concessionaire and mobility services provider, managing a 3,750-km network across 13 countries. By integrating design, financing, construction, operations and tolling, we give public authorities the assurance of a single industrial partner able to deliver strong operational performance throughout the full life cycle of highway projects. As a long-term partner to the regions we serve, we are committed to safety, environmental progress and economic development.

The VINCI Highways Transport & Revenue (T&R) team provides advice on traffic and revenue to headquarter and all entities worldwide by developing their commercial tolling strategies and budgets, as well as assess the revenue potential of new acquisitions. This gives the opportunity to learn, develop and apply new ideas and approaches in response to the diverse challenges VINCI Highways faces across the world.

The Traffic and Revenue Project Manager (F/M) will :

• Be responsible for monitoring the performance of part of VINCI Highways' portfolio, engaging with local teams and supporting them when needed.

• Provide and communicate effectively T&R insights of existing and potential new assets, based on analysis of the data available.

• Lead and manage T&R workstream in business development projects, as well as T&R projects done for existing SPVs.

• Manage external advisors, lenders and other third parties.

• Be responsible for the presentations and other material for internal discussion and committees.

• Engage and cooperate with other VINCI Highways teams, including Business Development, Finance and Technical teams.

• Manage and mentor junior colleagues.

• Participate and contribute to internal initiatives aimed to help VINCI Highways T&R team work more efficiently.

• At least 3 years of experience in transport demand forecasting or similar position.

• Relevant degree (e.g., engineering, economics, business / finance, statistics or similar).

• Ability to undertake detailed quantitative data analysis using statistics techniques.

• Good knowledge of MS Office package, in particular MS EXCEL.

• Ability to communicate insights from analysis to a wider audience.

• Fluent English.