AI Factory Operations Manager

About the role

Energy Industries is setting up an AI Factory as its AI Transformation Engine, combining governance, expertise, delivery capabilities, reusable assets and capability development to accelerate and scale AI transformation. As AI Factory Operations Manager you will run this engine and build a transparent, scalable and predictable delivery environment that moves AI initiatives from prioritization through development and deployment. The role reports to the Operational Excellence Manager and is open worldwide; no relocation is required.

Key responsibilities

• Operate and continuously improve the day-to-day AI Factory delivery framework, maintain portfolio visibility and provide clear performance reporting.
• Establish operational governance and working practices, and coordinate delivery across the divisional AI portfolio.
• Maintain transparency on status, risks, dependencies, capacity and delivery performance, and ensure stage-gate execution against cost, time and quality.
• Support portfolio prioritization and capacity planning, and evaluate the performance of internal delivery teams, recommending scaling, restructuring, consolidation or closure where appropriate.
• Coordinate external delivery partners and vendors, and work with the AI Lead Architect on the best delivery approach.
• Manage delivery performance within the authority delegated by the AI Factory Steering Committee, coordinate AI Academy initiatives and support the committee's activities.
• Prepare reporting and decision-support materials, support business-case governance and investment tracking, and monitor the development of AI capabilities across Energy Industries.

Required profile

• 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 and working with executive stakeholders.
• Professional fluency in English and willingness to travel internationally about 20 percent.
• Preferred: experience in AI, analytics, digitalization, automation or technology delivery, and in an industrial, energy, engineering or technology environment.