AI Factory Operations Manager

• Operate and continuously improve the day-to-day AI Factory delivery framework
• Maintain portfolio visibility and provide clear performance reporting
• Establish effective operational governance and working practices
• Coordinate delivery activities across the divisional AI portfolio
• Maintain transparency on status, risks, dependencies, capacity and delivery performance
• Ensure effective stage-gate execution and delivery against cost, time and quality expectations
• Support portfolio prioritization and capacity planning
• Evaluate the capability, effectiveness and performance of internal delivery teams
• Identify development and improvement opportunities across delivery teams
• Recommend scaling, restructuring, consolidation or closure actions when appropriate
• Coordinate external delivery partners and vendors
• Determine internal, external or combined delivery approaches with the AI Lead Architect
• Manage operational delivery performance within delegated authority
• Coordinate AI Academy initiatives, including training programs, certifications and learning activities
• Monitor development of AI capabilities across Energy Industries
• Support AI Factory Steering Committee activities through reporting, decision-support materials, governance adherence, business-case governance, investment tracking and portfolio transparency
• Coordinate a global network of delivery teams, project managers, architects, subject matter experts and vendor partners

• Bachelor’s degree in Engineering, Business, Technology, Program Management or a related field
• At least 5 years of experience in program delivery, operations management, PMO leadership, transformation, consulting or a comparable environment
• Experience coordinating multidisciplinary or virtual delivery teams
• Experience working with executive stakeholders
• Strong planning, governance and operational management capabilities
• Experience managing delivery risks, dependencies, capacity and performance
• Professional fluency in English
• Willingness to travel internationally approximately 20 percent
• Preferred: experience in AI, analytics, digitalization, automation or technology delivery
• Preferred: experience in an industrial, energy, engineering or technology environment
• Preferred: experience in consulting, a startup or a scale-up environment
• Preferred: experience coordinating external delivery partners and vendors
• Preferred: experience designing or improving delivery operating models

• Variable compensation and benefits package details shared with candidates progressing to the first interview stage for EU locations covered by the EU Pay Transparency Directive
• International travel opportunity (approximately 20 percent)