AI Factory Operations Manager

Job Description:

  • 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

Requirements:

  • 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

Benefits:

  • 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)
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