• Test whether milestones reported as complete or on track are supported by evidence, and report where status and reality differ.
• Assess sequencing, interdependencies and the critical path across initiatives, and identify where one slip will cascade.
• Assess whether the business is ready to adopt each change across people, process, systems, data and ownership.
• Track benefits realisation against the approved case, and tie it to the numbers leadership already uses.
• Escalate with evidence when a milestone, benefit or readiness gate is at risk, and recommend the decision required.
• Hold programme leaders and initiative owners to account for commitments, and lead assurance forums on the transformation.
• Lead, develop and deploy the Transformation Assurance Managers across the initiative portfolio.
• Set and enforce the standard for AI use in transformation assurance, and report adoption and results to the Chief EPMO Officer.
• Strong understanding of PMO operating models, change management and adoption, and of the difference between assuring change and delivering it.
• Executive communication: the ability to translate a complex programme position into a clear decision for senior leadership.
• Working understanding of governed data and analytics, and how AI can be used safely in assurance.
• Has assured, led or turned around a multi year transformation or enterprise change programme, and can describe the outcome in numbers.
• Experience at group and executive level.
• Construction, real estate, infrastructure or a similarly complex multi entity group preferred.
• Gulf or wider MENA experience an advantage.
• Genuine, demonstrated use of AI as a core working tool, evidenced by specific real examples from the candidate's own work.
• Able to describe a real instance of using AI to track programme progress against evidence, find a risk earlier or shape a recovery.
• Able to show how they have led a team to use AI as a working method, with verification discipline.
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