Senior AI-Native Delivery Manager

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

• Relevant certifications in cloud, AI, or delivery management