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 blends deep engineering and architecture expertise with hands‑on AI delivery experience, while building trusted relationships with C‑level executives and government stakeholders.

Key responsibilities

• Lead the full lifecycle of digital solution delivery, from ideation to production rollout, in complex enterprise environments.
• Serve 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 initiatives from use‑case prioritisation 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.
• Expert‑level leadership in Agile and Scrum, with a focus on outcomes and portfolio management.
• Strong risk‑management capabilities and experience governing delivery across senior stakeholder boards.
• Demonstrated ability to support account growth and client satisfaction in collaboration with account management.

Required skills

• AI/ML, Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG) pipelines, vector stores, prompt engineering.
• Microservices, event‑driven architecture, API‑led integrations.
• Hybrid cloud and on‑premises data architecture and security.
• Agile and Scrum methodologies.