Back to Search
Senior AI-Native Delivery Manager
Hybrid in Georgia, & 4 others
Delivery Management& 12 others
apply
FacebookLinkedInSend via email
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Location-specific conditions & benefits*
Choose an option
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