Program Manager, AI

About the Role
The purpose of this role is to convert executive priorities into measurable AI outcomes by identifying, prioritizing, governing, and scaling AI initiatives. The position involves translating business ambitions into a sequenced prioritized AI portfolio while ensuring ownership of initiatives until delivery.

Key Accountabilities

Job Specific:

• Build and manage an executive AI portfolio, covering use-case intake, prioritization, business case development, delivery governance, and value tracking.
• Define a stage-gated AI delivery model, guiding initiatives from idea to pilot and to scaled deployment.
• Collaborate with various business units to identify 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 to ensure that use cases are technically feasible, secure, and scalable.
• Drive executive AI fluency, change management, and adoption plans.
• Create materials for steering committees, investment cases, and decision papers for the Executive Office.

Generic:

Supervision

• Plan, supervise, and coordinate all activities in the assigned area to meet functional objectives.
• Train and develop assigned staff on relevant skills to enable proficiency and meet respective business objectives.

Budgets

• Provide input for the preparation of Function/Division/Department/Section budgets, assist in implementing approved budgets, and work plans to achieve business objectives.
• Investigate and highlight significant variances to support effective performance and cost control.

Policies, Systems, Processes & Procedures

• Implement approved Function/Division/Department/Section policies, processes, systems, standards, and procedures to support execution in line with company and international standards.

Performance Management

• Contribute to the achievement of approved performance objectives in line with the company performance framework.

Innovation and Continuous Improvement

• Design and implement new tools and techniques to improve quality and efficiency in operational processes.
• Identify improvements in internal processes against best practices to enhance efficiency and define intelligent solutions for functional issues.

Health, Safety, Environment (HSE) and Sustainability

• Comply with relevant HSE policies, procedures, controls, applicable legislation, and sustainability guidelines in line with international standards, best practices, and applicable Code of Practices.

Reports

• Provide inputs for preparing management information systems (MIS) and progress reports for company management.

Communication & Working Relationship

Internal:

• Collaborate with business units, engineering teams, and executive stakeholders to align AI initiatives with organizational goals.

External:

• Engage with external partners, vendors, and industry experts to identify opportunities and ensure best practices in AI implementation.

Qualifications, Experience, Knowledge & Skills

Minimum Qualification:

• Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field.

Minimum Experience:

• 10+ years of experience in AI strategy, implementation, or related fields, focused on enterprise-level projects.
• Strong AI transformation experience, ideally within energy, industrials, government, financial services, or other regulated enterprise environments.
• Ability to act as a business-AI translator; skilled enough in AI to challenge technologists and commercial enough to question business sponsors.
• Experience with portfolio governance, product strategy, operating models, business cases, and scaled adoption.
• Familiarity with Microsoft enterprise environments, particularly with Copilot, Power Platform, Azure AI, and Microsoft 365 in the delivery landscape.
• Does not need to be a coder but must understand agents, data readiness, integration complexity, and model risk to avoid endorsing uncertain concepts.

Professional Certifications:

• AI certifications, Project Management Professional (PMP), or equivalent certifications preferred.

Core / Technical Skills:

• Portfolio Management (L4)
• Data Analytics and Artificial Intelligence (L5)
• Artificial Intelligence Integration and Application (L5)
• Portfolio Value Realization & Capital Efficiency Management (L4)
• Project Delivery Strategy (L4)
• AI Fluency (L5)
• Executive Communications (L4)
• Change Management (L4)