AI Project Manager, Senior
Senior project manager leading end-to-end delivery of AI, computer vision, and GenAI projects for clients — handling scope, schedules, budgets, risks, vendor coordination, and formal acceptance from kickoff to go-live and handover. Works onsite in Riyadh with travel across Saudi Arabia, coordinating AI/ML engineers, infrastructure, and enterprise clients.
- Compensation
- Not disclosed
- Location
- Riyadh, Riyadh Province, Saudi Arabia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Project management
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, IT, AI Engineering, or related field
- 7+ years of project delivery experience, including 2+ years managing AI, analytics, computer vision, software/platform, or complex integration projects
- Strong knowledge of PMI-aligned project management practices (scope, schedule, risk, stakeholder, procurement, cost, quality, change control)
- Experience managing Agile or hybrid delivery methodologies
- Practical understanding of AI/ML delivery lifecycles and technical dependencies (data, integrations, infrastructure, model validation, production readiness)
- Experience with enterprise clients, vendors, SOWs, POs, budgets, invoicing milestones, and formal acceptance processes
- Strong written and verbal communication skills in English
- Proficiency in Microsoft Office (Excel, PowerPoint) and project management tools such as MS Project and Jira
- Strong leadership, organizational, stakeholder management, problem-solving, and communication skills
- Ability to manage multiple priorities, risks, deadlines, and cross-functional dependencies
- Ability to maintain accurate project documentation and handle confidential information professionally
- Willingness to work onsite with clients and travel within Saudi Arabia
Nice to have
- Professional Arabic communication skills for client-facing delivery
- PMP or equivalent project management certification
- AI project management training or certification such as CPMAI
- Experience in smart cities, video analytics/CCTV, edge AI, Generative AI, cloud or on-premises deployments, or government-sector programs
- Exposure to Saudi client environments, site and traffic-safety governance, data protection, and cybersecurity processes
- Experience using enterprise project and resource management systems
Full description
Nabeh a subsidiary of Master Works, delivers AI-powered solutions that help organizations automate operations, boost efficiency, and drive innovation. Its expertise spans computer vision, LLM applications, speech-to-text, data intelligence, and low-code AI solutions.
Nabeh is looking for an AI Project Manager, Senior to lead the end-to-end delivery of AI, computer vision, Generative AI (GenAI), and intelligent-platform projects. The role is responsible for translating contractual commitments into secure, technically feasible, and measurable client outcomes while managing project scope, schedules, budgets, quality, risks, and formal acceptance. The Senior AI Project Manager will serve as the primary coordination point between clients, AI and engineering teams, infrastructure, vendors, and internal stakeholders to ensure successful project delivery and alignment with business objectives.
Key Responsibilities
- Lead project initiation and handover from Sales, reviewing contracts, statements of work (SOWs), purchase orders (POs), deliverables, commercial milestones, dependencies, and acceptance criteria.
- Develop and maintain integrated project management plans, detailed schedules, milestones, forecasts, and approved project baselines, ensuring changes are documented and formally approved.
- Manage project kickoffs, stakeholder communication, risk and issue tracking, change requests, status reporting, steering committees, and escalation processes.
- Maintain accurate project documentation, contracts, approvals, deliverables, and correspondence, ensuring records are organized and audit-ready.
- Coordinate the end-to-end AI delivery lifecycle, including discovery, requirements gathering, solution design, data preparation, model development or configuration, integration, deployment, user acceptance testing (UAT), go-live, and hyper care.
- Track AI model performance requirements and success measures, 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, ensuring the required evidence and technical sign-offs are obtained.
- Coordinate AI engineers, technical leads, DevOps, infrastructure, business analysts, QA, UI/UX, support, field teams, and subcontractors to align responsibilities, priorities, dependencies, and delivery commitments.
- Monitor project progress, identify blockers and resource constraints, and coordinate recovery plans and escalations through PMO and functional leadership.