Delivery Assurance Manager

Role overview

Key responsibilities

• Independently assess project progress, schedules, and cost-to-complete forecasts against source evidence.
• Conduct stage-gate and monthly reviews, validating project baselines, critical paths, float movement, and resource loading.
• Lead recovery plans for projects experiencing significant delays or cost overruns, and track corrective actions through completion.
• Identify root causes of project delays and overruns, escalating commercial implications and delivery risks early.
• Hold Project Directors, entity COOs, and contractors accountable for agreed actions, deadlines, and commitments.
• Represent the EPMO in delivery review forums and maintain consistent, evidence-based reporting across the Group.
• Analyse project documentation, capture lessons learned, and contribute to continuous improvement in delivery assurance practices.

Qualifications and experience

• 10–15 years of experience in major project delivery, preferably within a main contractor, PMO, or client-side delivery assurance function.
• Strong construction or major infrastructure project experience, with a proven track record of recovering projects in difficulty.
• Proficiency in Primavera P6 or an equivalent project scheduling tool, including the ability to assess critical path slippage, float erosion, and schedule risks.
• Strong understanding of construction delivery lifecycles, contractual notices, contractor and subcontractor management, and causes of project delays.
• Experience engaging and holding senior stakeholders, including CEOs, COOs, and Project Directors, accountable for delivery commitments.
• Gulf or wider MENA experience, particularly within complex group and subsidiary structures, is strongly preferred.

Essential AI fluency

• Candidates must demonstrate practical, hands-on use of AI as a core working tool, with examples of identifying delay risks, accelerating root cause analysis, or supporting project recovery planning.
• Experience working with technical teams to develop AI-assisted project and schedule analysis tools is highly valued.