Senior AI-Native Delivery Manager

We are seeking a Senior AI-Native Delivery Manager to oversee the end-to-end delivery of integrated digital solutions for a major oil and gas client in the Middle East. This role requires a unique blend of deep engineering and architecture expertise, hands-on AI delivery experience, and the ability to build trusted relationships with C-level executives and government stakeholders in a multicultural, Arabic business environment. The successful candidate will serve as the primary client contact, lead a diverse delivery team, and play a key role in account growth, with regular business travel to the UAE. Responsibilities Lead the full lifecycle of digital solution delivery, from ideation to production roll-out, for complex enterprise environments Act as the main point of contact for the client, 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 delivering measurable business outcomes Implement rigorous risk management processes, proactively identifying and mitigating delivery risks Govern delivery across a broad stakeholder board, including C-level executives and government officials Support account growth, delivery strategy, and client satisfaction KPIs in partnership with account management teams Guide the architecture and integration of backend platforms, including microservices, event-driven systems, and API-led integrations Oversee enterprise integration, data architecture, and security for hybrid cloud and on-premises environments Lead AI/ML delivery initiatives, from use-case prioritization and PoC to production deployment and iterative improvement Make informed architectural decisions on modern AI technologies, including LLMs, RAG pipelines, vector stores, and prompt engineering Utilize AI tools in daily delivery management, such as AI coding assistants and automated planning solutions Requirements At least 15 years of progressive IT experience, with a minimum of 8 years in senior delivery, program, or architecture leadership roles Demonstrated 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 across concurrent projects Strong skills in risk management, including proactive identification, quantification, and mitigation of delivery risks Advanced planning and estimation abilities in complex, ambiguous technical environments Experience governing delivery across senior stakeholder boards, including C-level and government representatives Proven track record supporting account growth, delivery strategy, and client satisfaction in collaboration with account management Deep expertise in backend platforms and services architecture, including microservices, event-driven systems, and API-led integration Familiarity with enterprise architecture frameworks such as TOGAF or equivalent Strong working knowledge of cloud platforms (Azure, AWS, Google Cloud Platform), including infrastructure as code, containers, CI/CD, and observability Experience managing complex hybrid environments that combine cloud, on-premises, multi-vendor, and legacy systems Proficiency in enterprise integration patterns, data architecture (data lakes, lakehouses, streaming), and enterprise-grade security Hands-on experience leading AI/ML delivery from ideation and use-case prioritization through PoC and production roll-out Technical literacy in modern AI architectures, including LLMs, RAG pipelines, embedding/vector stores, fine-tuning, and prompt engineering Working knowledge of cloud AI platforms such as Azure AI/OpenAI Service, AWS SageMaker, Vertex AI, and Databricks Experience managing interdisciplinary AI teams, including data engineers, ML engineers, data scientists, and business product owners Personal experience using AI tools in delivery management, such as AI coding assistants and AI-driven risk/planning tools Outstanding written and verbal English communication skills at a C1 business level, with executive-level presentation abilities High emotional intelligence and the ability to adapt communication style for different cultural and seniority contexts Proven people leadership skills, fostering team motivation, psychological safety, and high performance in multicultural teams Nice to have Relevant certifications in cloud, AI, or delivery management