Lead Project Leader for Google Cloud AI Transformation

Quick Facts

• Role: Lead Project Leader – Google Cloud AI Transformation (permanent)

Description

Lead delivery and governance of Google Cloud AI platform capabilities and drive strategic GCP AI and cloud transformation programmes. Establish scalable, reusable AI services, coordinate complex dependencies across cloud foundations, security, data, architecture, and engineering, and ensure AI ambitions become executable delivery plans with measurable outcomes.

Responsibilities

• Lead end-to-end delivery of strategic GCP AI and cloud transformation programmes (ideation, planning, implementation, value realization).
• Drive execution of Google Cloud and AI platform roadmaps aligned to strategic objectives, architecture direction, and delivery plans.
• Coordinate dependencies across architecture, cloud engineering, security, identity and access management, network, data, platform, and business teams.
• Deliver shared, reusable AI platform capabilities supporting scalable onboarding of use cases and teams.
• Maintain programme plans, milestones, budgets, resource allocation, risks, issues, and dependencies.
• Set up programme governance, decision forums, and reporting for senior stakeholders.
• Ensure compliance with enterprise architecture, security, regulatory, resilience, and operational requirements.
• Support a sustainable cloud operating model (platform ownership, service management, cost transparency, operational readiness).
• Identify delivery obstacles, resolve escalations, and drive decisions across organizational boundaries.
• Promote a delivery culture focused on ownership, transparency, accountability, and continuous improvement.

Requirements

• Proven experience leading large-scale technology programmes and strategic transformation in cloud, data, or AI.
• Strong experience driving delivery and governance of Google Cloud Platform initiatives across multiple technology domains.
• Deep understanding of Google Cloud Platform services, cloud foundations, and platform engineering.
• Experience establishing and evolving cloud and AI platform capabilities for scalable enterprise AI adoption.
• Strong understanding of AI technologies: Generative AI, Large Language Models (LLMs), agentic workflows, AI orchestration frameworks, and emerging cloud AI capabilities.
• Ability to define strategic roadmaps and translate them into executable delivery plans aligned to organizational priorities.
• Experience coordinating complex dependencies across architecture, cloud engineering, security, IAM, network, data, and business teams.
• Strong governance and leadership skills (decision forums, steering committees, executive reporting).
• Knowledge of cloud security, resilience, scalability, operational readiness, and cloud financial management.
• Very good financial and resource management skills; strong analytical skills and attention to detail.
• Advanced presentation skills (PowerPoint and Excel) and excellent English communication.

Benefits

• Culture that fosters performance and growth, with opportunities to develop with colleagues in a vibrant working environment.
• Mostly office-based working model to support collaboration and learning.
• Diversity and inclusion are embedded in day-to-day work, with ongoing commitment and improvement.