Senior AI-Native Delivery Manager

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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

Skills

Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), C-Level Management, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Customer Relations, Customer Satisfaction, Data Science, Delivery Management, English Language, Enterprise Architecture, Enterprise Data Integration, Establish Priorities, Executive Relationships, GCP (Good Clinical Practices), Government, Hybrid Cloud, Information Technology & Information Systems, Information/Data Security (InfoSec), Investment Management, Leadership, Literacy, Microservices, Microsoft Windows Azure, Multicultural, Oil and Gas, Performance Metrics, Presentation/Verbal Skills, Product/Service Launch, Project Estimates, Project Planning, Project Tracking, Risk, Risk Management, Sales Management, Scrum Project Management and Software Development, Security Architecture, TOGAF - The Open Group Architecture Framework, Team Lead/Manager, Use Cases, Willing to Travel, Writing Skills

About the Company

EPAM Systems Inc