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Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey. The project: To support NHP, in particular Wave 1A, in applying risk management processes and techniques with the aim of increasing awareness, ownership and management of risks (threats and opportunities) leading to improved business performance and support the successful achievement of project objectives and benefits realisation. Are you looking to partner on healthcare construction projects that deliver world-class facilities and outstanding patient environments? Our specialist team combines industry-leading expertise with a passion for healthcare innovation, ensuring your part of an incredible programme team completing projects on time, within budget, and to the highest standards. Your contribution to a multi-million-pound programme will place you at the heart of a major construction works, giving you the opportunity to shape outcomes and have a lasting impact on communities and cities.
Job Responsibility:
Support the project leads to create the project risk management plan for individual projects based upon the NHP risk management process
Manging risk identification using standard tools
Quantifying risks with expert input
Applying consistent scoring per PMO guidance
Integrating analyses to assess impacts
Developing mitigation and contingency actions
Supporting owners in tracking actions
Providing objective oversight and escalation
Maintaining accurate data and reports
Requirements:
Must be a subject matter expert with a good theoretical foundation of risk management
Minimum 10 years progressive experience
University degree preferred but not required
Experience providing a similar role in a major, complex programme environment
Extensive health experience in the risk discipline
Experience when to use qualitative, semi-quantitative (e.g. Probability Impact Grids) and quantitative (e.g. Monte Carlo analysis) approaches and how to apply proven techniques for prioritising risks