AI Project Manager
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Role Purpose
Plan, lead, and control AI projects across the full Project Management Lifecycle while ensuring alignment with organizational PMO governance, contractual commitments, and CPMAI™ analytics lifecycle phases to achieve measurable business outcomes.
Key Responsibilities
Initiation & Alignment
• Develop and maintain the Project Charter, ensuring alignment with business objectives, success criteria, and value realization goals.
• Identify and engage key stakeholders; define stakeholder expectations and communication needs.
Planning
• Establish and baseline the Integrated Project Management Plan, including scope, schedule, cost, quality, resource, risk, communication, and procurement components.
• Define Work Breakdown Structure (WBS), milestones, delivery dependencies, and acceptance criteria.
• Plan resource allocation in coordination with technical leads and functional managers.
• Ensure alignment between delivery plans, payment milestones, and contractual terms.
Execution
• Direct and manage project work in accordance with the approved project plan and governance framework.
• Coordinate cross-functional teams (AI, data, platform, infrastructure) to support CPMAI™ phases such as business understanding, data understanding, modeling, deployment, and monitoring.
• Serve as the primary point of integration between PMO, technical teams, vendors, and clients.
Monitoring & Controlling
• Monitor project performance against baselined scope, schedule, and cost using defined KPIs.
• Identify, assess, and manage risks, issues, assumptions, and dependencies (RAID) proactively.
• Control scope through formal Change Control processes and assess impact on time, cost, and value.
• Produce accurate and timely project status reports and forecasts for stakeholders.
Closure & Value Realization
• Ensure formal project closure, including deliverable acceptance, documentation handover, and lessons learned.
• Support value realization tracking and post-delivery performance monitoring where applicable.
• Ensure all contractual and governance artifacts (e.g., CoCs, invoices, approvals) are completed and archived. Requirements
Qualifications & Requirements
• Bachelor’s degree in IT, Computer Science, Engineering, or a related field.
• 8+ years of experience in technology project management, including delivery of complex, data-driven or AI-enabled solutions.
• Saudi nationality is mandatory.
• PMP®, PRINCE2®, or equivalent PMI-aligned certification is required.
• PMI-CPMAI™ certification is a strong advantage, with demonstrated understanding of analytics and AI project lifecycles.
• Strong capability in stakeholder engagement, governance enforcement, and cross-functional coordination.
• Proven ability to manage projects in high-visibility, regulated, or enterprise environments.
Requirements
- •Bachelor’s degree in IT, Computer Science, Engineering, or a related field.
- •8+ years of experience in technology project management, including delivery of complex, data-driven or AI-enabled solutions.
- •PMP®, PRINCE2®, or equivalent PMI-aligned certification is required.
- •Strong capability in stakeholder engagement, governance enforcement, and cross-functional coordination.
- •Proven ability to manage projects in high-visibility, regulated, or enterprise environments.
Nice to Have
- •PMI-CPMAI™ certification is a strong advantage
- •demonstrated understanding of analytics and AI project lifecycles
Responsibilities
- •Plan, lead, and control AI projects across the full Project Management Lifecycle.
- •Develop and maintain the Project Charter.
- •Establish and baseline the Integrated Project Management Plan.
- •Define Work Breakdown Structure (WBS), milestones, delivery dependencies, and acceptance criteria.
- •Direct and manage project work in accordance with the approved project plan.
- •Coordinate cross-functional teams (AI, data, platform, infrastructure).
- •Monitor project performance against baselined scope, schedule, and cost.
- •Ensure formal project closure, including deliverable acceptance, documentation handover, and lessons learned.
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