Program Manager AI

About the role

ADNOC Group is looking for a Program Manager AI in Abu Dhabi to turn executive priorities into measurable AI outcomes. The role identifies, prioritizes, governs and scales AI initiatives across ADNOC, turning business ambition into a sequenced, prioritized AI portfolio and owning initiatives until delivery.

Key responsibilities

• Build and manage ADNOC's executive AI portfolio, covering use-case intake, prioritization, business-case development, delivery governance and value tracking.
• Define a stage-gated AI delivery model from idea through pilot to scaled deployment.
• Work with business units to find high-value opportunities across upstream, downstream, trading, corporate functions, HSE, supply chain, finance, HR and executive operations.
• Own value-realization metrics such as ROI, productivity, cycle-time reduction, risk reduction, adoption metrics and benefit tracking.
• Partner with engineering teams so use cases are technically feasible, secure and scalable.
• Drive executive AI fluency, change management and adoption plans.
• Create steering committee materials, investment cases and decision papers for the Executive Office.
• Supervise and coordinate activities, train staff, contribute to budgets and performance objectives, and report progress to management.

Required profile

• Bachelor's degree in Computer Science, Engineering, Business Administration or a related field.
• 10+ years of experience in AI strategy, implementation or related fields, focused on enterprise-level projects.
• Strong AI transformation experience, ideally in energy, industrials, government, financial services or another regulated enterprise.
• Ability to act as a business-AI translator: fluent enough in AI to challenge technologists and commercial enough to challenge business sponsors.
• Experience with portfolio governance, product strategy, operating models, business cases and scaled adoption.
• Preferred: AI certifications, PMP or equivalent.

Required skills

• Comfortable with Microsoft enterprise environments, especially Copilot, Power Platform, Azure AI and Microsoft 365.
• Understanding of agents, data readiness, integration complexity and model risk.
• Core competencies listed include portfolio management, data analytics and artificial intelligence, project delivery strategy, executive communications and change management.