Job description
• Perform schedule assurance reviews on project programmes, validating logic quality, constraints, float, durations, and schedule integrity.
• Analyze programme updates against baseline and prior submissions to identify critical path changes, float erosion, milestone slippage, and forecast completion variances.
• Conduct schedule health assessments and provide clear risk ratings and performance insights to Delivery Assurance Managers.
• Support delay analysis, recovery planning, and schedule performance reviews across major construction and infrastructure projects.
• Review project risk registers for completeness, ownership, mitigation effectiveness, and risk quantification.
• Perform qualitative and quantitative risk analysis to assess schedule and delivery confidence levels.
• Monitor project leading indicators and provide early warning of emerging delivery, schedule, and execution risks.
• Maintain portfolio-wide schedule and risk reporting using governed project controls data.
• Work directly with planners and project teams to improve schedule quality, reporting accuracy, and data reliability.
• Develop and enhance automated reporting tools, dashboards, templates, and analytical models to improve efficiency and consistency.
• Utilize AI, automation, and data analytics tools to perform programme reviews, anomaly detection, schedule validation, and risk identification.
• Translate complex schedule and risk findings into clear, concise insights for non-technical stakeholders and leadership teams.
• Bachelor's Degree in Engineering, Construction Management, Project Controls, Project Management, or a related discipline.
• 4-7 years of experience in planning, scheduling, project controls, or risk management within construction, infrastructure, or major capital projects.
• Strong hands-on expertise with Primavera P6, including XER file analysis, logic validation, float analysis, calendars, constraints, and schedule diagnostics.
• Experience conducting schedule health checks, delay analysis, critical path assessments, and recovery planning.
• Knowledge of DCMA 14-Point Assessment or similar schedule quality review methodologies.
• Understanding of project risk management principles, risk registers, mitigation planning, and quantitative risk analysis.
• Advanced Excel skills with experience using Power BI for reporting and visualization.
• Experience with SQL, Python, Power Query, VBA, or other automation tools is highly preferred.
• Demonstrated ability to create automated reports, analytical tools, dashboards, or process improvements that drive efficiency.
• Practical use of AI tools for schedule analysis, risk assessment, anomaly detection, reporting automation, or project controls activities.
• Strong analytical thinking, attention to detail, and the ability to identify inconsistencies within large datasets.
• Excellent communication skills with the ability to explain technical findings in simple business language.
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