Project Manager AI And Automation

Project manager AI & automation

The project manager AI & automation is responsible for leading end-to-end delivery of projects that leverage content management, process automation, machine learning, and advanced analytics to drive business transformation for clients.

This role requires a strong combination of technical understanding, business acumen, and project delivery discipline. The project manager will collaborate closely with clients, solution architects, data scientists, and automation engineers to ensure the successful implementation of automation solutions that deliver measurable business outcomes.

Key responsibilities:

1. Project planning and initiation
Define project objectives, scope, deliverables, and success criteria in collaboration with business stakeholders and technical teams.
Prepare detailed project charters, resource plans, and cost estimates for AI and automation initiatives.
Identify project risks and design mitigation and contingency plans early in the lifecycle.
Establish governance structures and define communication cadences across business and IT stakeholders.

2. Delivery and execution
Manage full project lifecycle for AI and automation initiatives including:

3. Client and stakeholder management
Act as the primary point of contact for customers during all project phases.
Translate complex technical solutions into business value discussions.
Manage expectations on timelines, cost, and deliverables ensuring full transparency.
Conduct steering committee meetings and executive project reviews.

4. Financial and commercial management
Control project budgets, cost forecasts, and resource allocations to ensure profitability.
Track change requests, billing milestones, and project-related revenue.
Ensure compliance with contractual obligations and pricing models.

5. Quality assurance and governance
Ensure that automation solutions follow defined architecture standards, compliance, and security protocols.
Implement standardized project documentation templates and best practices.
Conduct UAT planning, deployment readiness checks, and post-implementation reviews.

6. Leadership and team enablement
Lead cross-functional project teams and mentor junior project managers or coordinators.
Promote a culture of collaboration, accountability, and innovation.
Work closely with the Center of Excellence (CoE) for Automation to standardize frameworks and share best practices.

Requirements, qualifications and experience:

Education: Bachelor's degree in computer science, engineering, or related field. Master's or MBA preferred.

Certifications: PMP, PRINCE2, or Agile/Scrum Master certification. RPA certifications (UiPath, Power Automate, or Automation Anywhere) are a strong plus.

Experience:

Key skills and competencies:

Work location: Dubai, UAE.

Additional information:

Employment type: Full time
Vacancy: 1
Monthly salary: 25,000