Essential Criteria

 

At least 5 years working in infrastructure asset management, in particular in highways asset management, or a more broadly related area, for example transport planning.

 

A Graduate or Post-graduate qualification in a scientific discipline including (but not restricted to) Mathematics, Statistics and Engineering or other disciplines such as Geography and Economics where a focus on numerical and statistical analyses can be demonstrated (ideally shown through the Academic transcripts)

 

Ability to demonstrate working knowledge in relation to at least  2 of the seven core areas in the IAM Competency Framework

 

Either member or working towards membership of relevant professional body (for example MIAM, MCIHT, MICE)

 

Evidence of an ability to work on initiative and respond appropriately to client requirements

 

Evidence of successful delivery of projects to meet client or stakeholder requirements

 

A demonstrable enthusiasm for AM and a willingness to challenge established assumptions and explore alternative or innovative approaches 

Work experience

 

Recognising that AM is a diverse discipline with interconnections across a number of areas of expertise we are seeking candidates with a mixture of technical expertise in at least 2 of the areas below but with an ability to appreciate and apply themselves in a range of other aspects.

 

We will therefore score against each of these skills on the basis of both CV and interview using the following criteria:

 

0 - not demonstrated sufficient understanding of how this can be applied in highway asset management

1 - able to demonstrate an understanding of the application of this skill in Highway AM and enthusiasm to learn those skills  

2 - provides evidence of practical experience of using this skill in any industry context

3 - provides evidence of using this skill in a highway infrastructure context 

 

Desirable AM skills - candidates should achieve a score of 2 or more in at least 2 of the AM skills criteria

• Analysing and forecasting demands on infrastructure

• Analysing and responding to wider corporate and national policy environment to direct AM policy and strategy development

• Defining the AM strategy implications of forecast changes in infrastructure condition and risks (cf IAM Competency Framework Unit 2.1)

• Strategy options appraisal including production of value for money indicators

• Infrastructure risk and criticality analysis - in either a strategic, programme or engineering context

• Analysis of asset performance and risk data to identify optimum lifecycle interventions 

• AM business systems analysis

• Asset information management (including PAS1192-3:2014)

Desirable Technical Skills

 

• Survival/ reliability analysis - in particular the estimation of survival/ reliability model parameters

• Bayesian analysis

• Monte Carlo simulation

• Econometric analysis

• Operations Research