Description
The position focuses on delivering integrated digital solutions for a prominent oil and gas client in the Middle East.
Responsibilities
•Oversee the full lifecycle of digital solution delivery, from initial concept through production deployment in complex enterprise settings
•Serve as the primary client interface, ensuring transparent communication and alignment with project objectives
•Lead and inspire a multicultural, cross-functional delivery team across multiple project streams
•Direct project planning, estimation, and execution in technically challenging and ambiguous environments
•Champion Agile and Scrum methodologies, focusing on tangible business value
•Establish and maintain risk management practices, proactively identifying and addressing delivery risks
•Govern project delivery across stakeholders, including senior executives and government officials
•Collaborate with account management to drive account growth, delivery strategy, and client satisfaction metrics
•Guide the design and integration of backend systems, including microservices, event-driven architectures, and API-led solutions
•Oversee enterprise integration, data architecture, and security for hybrid cloud and on-premises infrastructures
•Lead AI and machine learning initiatives from use-case selection and proof of concept through production and ongoing improvement
•Make strategic architectural decisions about LLMs, RAG pipelines, vector databases, and prompt engineering
•Use AI-powered tools in daily delivery management, including coding assistants and automated planning solutions
Requirements
•Minimum 15 years of progressive IT experience, including at least 8 years in senior delivery, program, or architecture leadership roles
•Experience delivering large-scale enterprise programs with multiple workstreams, 50+ team members, and multi-year durations
•Advanced leadership in Agile and Scrum, with a focus on results and managing concurrent project portfolios
•Expertise in risk management, including proactive identification, assessment, and mitigation of delivery risks
•Strong planning and estimation skills in complex and uncertain technical environments
•Experience managing delivery across senior stakeholder groups, including C-level executives and government representatives
•Success supporting account growth, delivery strategy, and client satisfaction in partnership with account management
•Deep knowledge of backend architecture, including microservices, event-driven systems, and API-led integration
•Familiarity with enterprise architecture frameworks such as TOGAF or similar standards
•Strong background in cloud platforms (Azure, AWS, GCP), including infrastructure as code, containerization, CI/CD, and observability
•Experience managing hybrid environments combining cloud, on-premises, multiple vendors, and legacy systems
•Proficiency in enterprise integration patterns, data architecture (data lakes, lakehouses, streaming), and enterprise-level security
•Hands-on leadership of AI/ML projects from ideation and prioritization through proof of concept and production deployment
•Technical understanding of modern AI architectures, including LLMs, RAG pipelines, embeddings, fine-tuning, and prompt engineering
•Working knowledge of cloud AI platforms such as Azure AI/OpenAI Service, AWS SageMaker, Vertex AI, and Databricks
•Experience leading interdisciplinary AI teams, including data engineers, ML engineers, data scientists, and business product owners
•Practical use of AI tools in delivery management, such as AI coding assistants and AI-driven risk or planning tools
•Exceptional written and spoken English at C1 business level, with strong executive presentation skills
•High emotional intelligence and adaptable communication across diverse cultural and seniority contexts
•Demonstrated people leadership, fostering motivation, psychological safety, and high performance in multicultural teams
Nice to have
•Certifications relevant to cloud platforms, AI, or delivery management
Conditions
•Frequent travel to the UAE is required
