About this role
About the Role This is a junior/mid-level role centered on mobility innovation development and ITS/tolling technical support. The role emphasizes self-led technical and analytical delivery, collaboration across Ferrovial business units and external partners, and AI-augmented working as the default method. You will report to the ITS Lead or Head of the Center of Excellence for Mobility (CoE4M); occasional project assignments may involve a more complex matrix structure. The position may require travel nationally or internationally and two to six month secondments in other territories, including the US. What You'll Do
- Partner with BU teams to identify innovation opportunities, co-develop initiatives, and support operational adoption.
- Represent CoE4M in workshops, project briefings, and stakeholder outreach; translate BU needs into requirements.
- Coordinate with the Ferrovial Innovation team to align initiatives and cross-pollinate findings across business lines.
- Brief stakeholders on initiative status/outcomes; represent Ferrovial at external industry events and forums.
- Prototyping & Technical Delivery: perform hands-on data analysis, technology assessments, and prototype end-to-end from concept to proof-of-value; use AI tools as core working practice; build business cases (revenue, cost, risk) for scoping and prioritization; scope and coordinate resources (internal & external) for prototypes or initiatives.
- ITS/Tolling Technical Support: provide technical design input, cost estimates, and budget quotes for ITS and tolling bids and concessions.
- Market Intelligence & Scouting: monitor developments in data-driven, automated, and autonomous ITS/tolling and mobility; evaluate vendors/OEMS; manage engagement as required; capture knowledge from workshops/events/meetings into summaries; produce technology briefs, white papers, bid content, and presentation materials.
- Knowledge Sharing: contribute findings to the Ferrovial Innovation Community for visibility across business lines. What We're Looking For
- Degree in Engineering, Computer Science, Data Science, Business, or equivalent quantitative/technical discipline.
- 4+ years in an innovation, digital, technology, AI, or data-focused role within a corporate or consulting environment.
- 2+ years working directly with transport technologies and infrastructure — e.g., C-ITS, tolling systems (open-road/all-electronic tolling, interoperability standards), traffic management systems or C-V2X/V2X connected-vehicle platforms.
- Working knowledge of mobility data standards and formats relevant to analytics and system integration.
- Practical, hands-on fluency with AI tools beyond consumer chat interfaces — e.g., using LLM APIs or agentic platforms (Anthropic, OpenAI, Copilot Studio) to build structured workflows, using AI-assisted coding for data pipelines or prototypes (Python/SQL preferred), or applying AI to geospatial data/imagery analysis for infra monitoring.
- Demonstrated interest and working knowledge of connected/autonomous mobility, digital tolling, and mobility analytics; able to speak to eco-system, technologies, and where the sector is heading, not just historical context.
- Track record of project delivery with tangible outputs combining self-led technical work (data analysis, prototyping, modelling) and cross-team collaboration.
- Comfort working across corporate, startup, public sector, or innovation-ecosystem, adapting delivery style accordingly.
- Fluency in English (not explicitly stated in source; reference to broad cross-border collaboration).