Head Of Cloud Experience

A Snapshot of Your Day

As the Head of Cloud Experience, you will lead the transformation of cloud infrastructure management through self-service, automation, and AI-driven experiences. You will define and execute the future operating model where cloud services are delivered through intelligent platforms, automation, and agentic capabilities, enabling a shift from human-executed to human-supervised cloud operations. In this strategic leadership role, you will drive innovation, simplify cloud consumption, and create scalable experiences that improve productivity, governance, and operational excellence across a global multi-cloud environment.

How Youll Make An Impact

Cloud Experience Strategy & Vision

• Define and execute the enterprise-wide Cloud Experience strategy and roadmap.
• Establish a unified Cloud Experience Platform that enables self-service cloud provisioning, automation, AI copilots, and agentic workflows.
• Drive the evolution of cloud operations from manual execution toward AI-enabled, human-supervised operating models.

• Lead the design, development, and continuous enhancement of the cloud portal, service catalog, and developer experience.
• Simplify cloud provisioning, governance, lifecycle management, and operational processes across AWS, Azure, and GCP.
• Ensure platform capabilities meet business, engineering, and operational requirements at scale.

• Introduce and scale conversational AI, autonomous agents, and intelligent automation across cloud operations.
• Enable AI-assisted provisioning, remediation planning, capacity management, operational insights, and service management.
• Implement appropriate human oversight, approval workflows, and accountability mechanisms for AI-driven actions.

• Build and maintain the operational foundation required for agentic cloud management.
• Establish service catalogs, dependency maps, telemetry frameworks, automation workflows, runbooks, and knowledge repositories.
• Ensure AI agents operate with accurate context and reliable operational data.

• Partner with Security, Risk, and Compliance teams to establish governance frameworks for AI-enabled cloud operations.
• Implement controls for policy enforcement, auditability, approval workflows, and operational guardrails.
• Ensure secure, compliant, and responsible adoption of autonomous cloud capabilities.

• Drive the adoption of AI-first cloud operating models across the organization.
• Establish success metrics focused on platform adoption, operational efficiency, reliability, customer experience, and productivity improvements.
• Build, mentor, and lead high-performing global teams while fostering a culture of innovation and continuous improvement.
• Influence executive stakeholders and champion the future of AI-powered cloud experiences.

Education & Experience

• Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 10 years of experience in cloud platforms, infrastructure services, platform engineering, or digital product leadership.
• At least 4 years of experience leading global cloud, platform engineering, or technology teams.
• Proven experience driving large-scale cloud transformation initiatives in complex enterprise environments.

• Deep expertise in designing, implementing, and operating enterprise cloud platforms across AWS, Azure, and GCP.
• Demonstrated success delivering self-service platforms, service catalogs, cloud marketplaces, or developer platforms at enterprise scale.
• Strong understanding of platform engineering principles and cloud operating models.

• Experience with Generative AI, AI copilots, intelligent automation, workflow orchestration, and agentic AI architectures.
• Understanding of supervised autonomy models and AI-enabled operations.
• Ability to balance innovation with operational stability, governance, and risk management.

• Strong product leadership mindset with the ability to build intuitive, consumer-grade experiences for complex technology platforms.
• Proven track record of increasing platform adoption, simplifying user journeys, and delivering measurable business outcomes.
• Experience defining roadmaps, prioritizing investments, and managing stakeholder expectations.

• Extensive knowledge of cloud governance, security, compliance, operational risk management, and FinOps practices.
• Familiarity with emerging AI governance frameworks and Agentic FinOps concepts.
• Experience implementing controls, policies, and accountability mechanisms within cloud environments.

• Proven ability to build and lead high-performing global teams.
• Strong stakeholder management, executive communication, and influencing skills.
• Demonstrated success leading organizational change and large-scale technology transformations.
• Passion for innovation and shaping the future of AI-powered cloud operations.

Our Corporate and Global Functions teams play a vital role in driving Siemens Energys strategic priorities and ensuring operational excellence across business functions, regions, and markets. Together, we support our vision of becoming the worlds most valued energy technology company.

In this role, you will contribute to the global energy transition by partnering with internal and external stakeholders, driving innovation, and ensuring business operations are conducted responsibly and in compliance with applicable laws and regulations.

Who is Siemens Energy

At Siemens Energy, we are more than an energy technology company. With approximately 100,000 employees across more than 90 countries, we develop the energy systems of the future and help meet the worlds growing energy demand reliably and sustainably.

Our technologies support approximately one-sixth of the worlds electricity generation, helping to advance the global energy transition. Guided by a 150-year legacy of innovation, we are committed to decarbonization, digitalization, and developing the technologies that will shape tomorrows energy landscape.

Our global team is dedicated to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible.