Cost Intelligence, Data & Benchmarking - Infrastructure

In this role you use cost data and benchmarks to drive affordability and performance across infrastructure investment. You will embed within client organisations or work across multiple clients to enhance decision‑making from business case to delivery. You’ll collaborate with Digital, Data and Innovation teams to govern and improve cost information. This is a chance to shape how major programmes are costed and benchmarked, within a supportive, flexible regional team.

• great place to work
• flexible working environment
• support for work-life balance
• equal opportunity employer

• Develop, maintain and evolve infrastructure cost benchmarks across sectors
• Analyse cost performance across assets, programmes and portfolios
• Identify key cost drivers, trends and variances
• Assist with gathering and sharing estimating data
• Support automated capture, standardisation and governance of cost data across infrastructure programmes
• Work closely with Digital, Data and Innovation teams
• Support development and promotion of good practice within Turner & Townsend
• Assist in the achievement of departmental objectives
• Stay abreast of developments in own technical area to provide best practice advice

• Strong understanding of infrastructure cost structures and delivery models
• Experience with cost data, benchmarks and analytics on large or complex programmes
• Ability to identify meaningful insights from complex datasets
• Commercial awareness of infrastructure markets
• Experience in infrastructure cost management, cost intelligence, benchmarking or data analytics
• Background in consultancy, client‑side infrastructure organisations or major contractors preferred
• Degree in Quantity Surveying, Engineering, Economics, Construction Management, Data Analytics or similar
• Progress towards or membership of a relevant professional body (e.g. RICS) desirable

• Cost data analytics
• Benchmarking
• Data governance of cost data
• Infrastructure cost management
• Experience with large/complex programmes
• Collaboration with Digital, Data and Innovation teams