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September 18, 2026

Lead Project Leader, Google Cloud AI Transformation

Senior • On-site

Warsaw, Poland

Quick Facts

  • Lead end-to-end delivery and governance of GCP AI and cloud transformation programmes.
  • Coordinate cross-domain dependencies and deliver reusable, scalable AI platform capabilities.
  • Translate the AI platform roadmap into executable plans with measurable business outcomes.

Description

You will lead strategic delivery of Google Cloud AI platform capabilities, build scalable and reusable AI services, and coordinate complex dependencies across cloud foundations, security, identity and access management, network, data, architecture, and engineering domains. The role drives adoption of cloud-native AI capabilities by shaping the AI platform roadmap and ensuring strategic ambitions turn into executable delivery plans and measurable business outcomes, supported by programme governance and stakeholder management.

Responsibilities

  • Lead end-to-end delivery of strategic GCP AI and cloud transformation programmes (ideation to implementation and value realisation).
  • Drive execution of Google Cloud and AI platform roadmaps aligned to architecture direction and delivery plans.
  • Coordinate dependencies across architecture, cloud engineering, security, IAM, network, data, platform, and business teams.
  • Shape and maintain programme plans, milestones, budgets, resource allocation, risks, issues, and dependencies.
  • Establish programme governance, decision forums, and reporting for senior stakeholders.
  • Ensure compliance with enterprise architecture, security, regulatory, resilience, and operational requirements.
  • Support development of a sustainable cloud operating model (platform ownership, service management, cost transparency, operational readiness).
  • Proactively identify obstacles, resolve escalations, and drive decisions across organisational boundaries.
  • Promote a delivery culture based on ownership, transparency, accountability, and continuous improvement.

Requirements

  • Proven track record of leading large-scale technology programmes and strategic transformation initiatives in cloud, data, or AI.
  • Strong experience driving delivery and governance of Google Cloud Platform initiatives across multiple technology domains.
  • Deep understanding of GCP services, cloud foundations, platform engineering, and cloud operating model principles.
  • Experience establishing and evolving cloud and AI platform capabilities that enable scalable enterprise AI adoption.
  • Strong understanding of AI technologies including Generative AI, Large Language Models (LLMs), agentic workflows, AI orchestration frameworks, and emerging cloud-based capabilities.
  • Ability to define and drive strategic roadmaps and translate them into executable delivery plans aligned to organisational priorities.
  • Experience coordinating complex dependency landscapes across architecture, cloud engineering, security, IAM, network, data, and business teams.
  • Strong governance and leadership skills, including establishing decision forums, steering committees, and executive reporting.
  • Experience influencing senior stakeholders and driving alignment across multiple organisational units and technology domains.
  • Understanding of platform-oriented delivery models (shared services, reusable capabilities, automated onboarding, self-service enablement).
  • Strong understanding of cloud security, resilience, scalability, operational readiness, and cloud financial management.
  • Proven ability to identify risks, resolve impediments, and drive outcomes in complex environments.
  • Very good financial and resource management; very good analytical skills and attention to detail.
  • Advanced presentation skills (PowerPoint and Excel).
  • Excellent communication and stakeholder management; excellent English (spoken and written).
  • Can-do attitude.

Benefits

  • Collaboration, ownership, passion, and courage as guiding values.
  • Performance and growth culture with opportunities to evolve, develop, and learn in a diverse working environment.
  • Mostly office-based working model to support collaboration and learning.
  • Diversity and inclusion focus as part of daily work and long-term sustainability.

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