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Senior AI-Native Delivery Manager

Hybrid in Georgia, & 4 others
Delivery Management& 12 others
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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, GCP), 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