Senior AI-Native Delivery Manager

About the role

We are looking for a Senior AI‑Native Delivery Manager to lead end‑to‑end delivery of integrated digital solutions for a major oil and gas client in the Middle East. The role combines deep engineering and architecture expertise with hands‑on AI delivery experience, while building trusted relationships with C‑level executives and government stakeholders in a multicultural, Arabic business environment.

Key responsibilities

• Lead the full lifecycle of digital solution delivery, from ideation to production rollout, for complex enterprise environments.
• Act as the primary client contact, ensuring clear communication and alignment on project goals.
• Manage and motivate a multicultural, interdisciplinary delivery team across multiple workstreams.
• Oversee project planning, estimation, and execution in technically complex and ambiguous settings.
• Drive Agile and Scrum practices focused on measurable business outcomes.
• Implement rigorous risk management processes and proactively mitigate delivery risks.
• Guide architecture and integration of backend platforms, including microservices, event‑driven systems, and API‑led integrations.
• Lead AI/ML delivery initiatives, from use‑case prioritization and PoC to production deployment and iterative improvement.

Required profile

• At least 15 years of progressive IT experience, with a minimum of 8 years in senior delivery, program, or architecture leadership roles.
• Proven success delivering large‑scale, enterprise‑grade programs with multiple workstreams, 50+ FTEs, and multi‑year timelines.
• Strong leadership in Agile and Scrum, with a focus on outcomes and portfolio management.
• Excellent risk‑management skills and experience governing delivery across senior stakeholder boards, including C‑level and government representatives.
• Ability to work in a multicultural Arabic environment and travel regularly to the UAE.

Required skills

• Microservices architecture
• Event‑driven systems
• API‑led integrations
• Hybrid cloud and on‑premises environments
• Data architecture and security
• Large Language Models (LLMs)
• RAG pipelines, vector stores, prompt engineering
• AI coding assistants and automated planning solutions