Global AI Platform Manager

Lead the end-to-end operations of Hitachi Energy’s enterprise AI Platform, ensuring secure, reliable, scalable, and cost-efficient services for global business use. Partner with cross-functional teams to drive platform evolution, operational excellence, MLOps, AI security, observability, FinOps, and reusable AI capabilities, while leading a multidisciplinary global team of platform operations professionals.

Lead end-to-end AI Platform Operations, ensuring secure, scalable, and reliable enterprise services. Manage and develop a multidisciplinary team across platform engineering, MLOps, SRE, FinOps, security, and integration support. Own operational excellence, resource planning, workforce development, and budget accountability. Oversee AI platform services, ensuring stability, performance, scalability, and business continuity. Define and govern service catalogs, SLAs, support models, release processes, and operational controls. Drive AI Ops, MLOps, observability, monitoring, incident management, and continuous service improvement. Ensure platform security, identity governance, data protection, compliance, and policy enforcement. Lead FinOps practices, including cost optimization, capacity planning, and spend transparency. Deliver reusable platform capabilities, deployment support, and shared services for development teams. Provide strategic recommendations to leadership on platform investments, priorities, funding, risk posture, and long-term evolution.

Hitachi Energy believes great work thrives in an environment where people feel genuinely supported and fairly rewarded. Its benefits are designed to create real value for every individual, fueling engagement, performance, and growth. By prioritizing well-being, it builds a workplace where personal and organizational success grow together.

The role leads a multidisciplinary global team of platform operations professionals and partners with cross-functional teams.

• 10+ years of experience in AI/ML platforms, technology operations, or enterprise-scale platform management.

• Proven track record in operating enterprise AI platforms, delivering service reliability, SLA compliance, and operational excellence.

• Strong expertise in Microsoft AI Services, cloud platforms, MLOps, SRE practices, observability, and platform reliability.

• Experience with FinOps, cloud cost management, capacity planning, chargeback models, and consumption optimization.

• Strong knowledge of platform security, identity and access management, and security-by-design principles.

• Proven experience managing incidents, release governance, root cause analysis, and continuous service improvement.

• Demonstrated leadership of multidisciplinary technology operations teams in complex global environments.

• Excellent stakeholder management, communication, and organizational skills, with the ability to drive end-to-end platform operations and governance.