Required Profile

Preferred Qualifications

• Lead project initiation and handover from Sales, reviewing contracts, statements of work, purchase orders, deliverables, commercial milestones, dependencies, and acceptance criteria.
• Develop and maintain integrated project management plans, detailed schedules, milestones, forecasts, and approved project baselines, with documented change control.
• Manage project kickoffs, stakeholder communication, risk and issue tracking, change requests, status reporting, steering committees, and escalation processes.
• Maintain audit-ready project documentation, contracts, approvals, deliverables, and correspondence.
• Coordinate the full AI delivery lifecycle: discovery, requirements gathering, solution design, data preparation, model development or configuration, integration, deployment, UAT, go-live, and hypercare.
• Track AI model performance requirements including precision, recall, false positives, inference latency, operational monitoring, and retraining requirements where applicable.
• Monitor readiness of datasets, development environments, GPUs, edge devices, camera streams, APIs, cloud or on-premises infrastructure, cybersecurity reviews, licenses, and third-party integrations.
• Coordinate technical validation, security and privacy approvals, client UAT, production readiness, user training, handover, and service transition, obtaining required evidence and technical sign-offs.
• Coordinate AI engineers, technical leads, DevOps, infrastructure, business analysts, QA, UI/UX, support, field teams, and subcontractors across responsibilities, priorities, and delivery commitments.
• Monitor project progress, identify blockers and resource constraints, and coordinate recovery plans and escalations through PMO and functional leadership.
• Coordinate site readiness, permits, logistics, safety requirements, and vendor mobilisation for field and edge AI deployments.
• Track project budgets, resource utilisation, timesheets, vendor purchase orders, cost-to-complete, financial milestones, invoicing requirements, and margin exposure.
• Coordinate signed acceptance documents, completion certificates, and supporting evidence required for timely invoicing and payment.
• Manage subcontractor deliverables, schedules, dependencies, and handovers, coordinating contractual and commercial changes with Sales, Finance, Procurement, and Legal.
• Serve as the primary day-to-day client contact for project delivery, communicating progress, issues, corrective actions, and decisions in English and Arabic as required.
• Coordinate quality assurance activities, defect prioritisation, UAT plans, issue resolution, user training, operational documentation, support SLAs, and formal client acceptance.
• Lead project closure activities including documentation handover, lessons learned, financial reconciliation, and transition to support or managed services.
• Prepare regular project status reports covering milestones, risks, budget status, delivery progress, outstanding actions, and issues requiring management attention.
• Bachelor's degree in Computer Science, Information Technology, AI Engineering, or a related field.
• Seven or more years of project delivery experience, including at least two years managing AI, analytics, computer vision, software or platform, or complex integration projects.
• Strong knowledge of project management practices aligned with PMI principles, covering scope, schedule, risk, stakeholder, procurement, cost, quality, and change control.
• Experience managing Agile or hybrid project delivery methodologies.
• Practical understanding of AI/ML delivery lifecycles and the technical dependencies involved in data, integrations, infrastructure, model validation, and production readiness.
• Experience working with enterprise clients, vendors, SOWs, purchase orders, project budgets, invoicing milestones, and formal acceptance processes.
• Strong written and verbal communication skills in English; professional Arabic is highly desirable for client-facing delivery in Saudi Arabia.
• Proficiency in Microsoft Office, particularly Excel and PowerPoint, and project management tools including MS Project and Jira.
• Ability to manage multiple priorities, project risks, deadlines, and cross-functional dependencies.
• Willingness to work onsite with clients and travel within Saudi Arabia as project requirements dictate.
• PMP or equivalent project management certification.
• AI project management training or certification such as CPMAI.
• Experience in smart cities, video analytics or CCTV, edge AI, Generative AI, cloud or on-premises deployments, or government-sector programmes.
• Exposure to Saudi client environments, site and traffic-safety governance, data protection, and cybersecurity processes.
• Experience using enterprise project and resource management systems.