Lead Project Leader (AWS AI)

Quick Facts

• Role: Lead Project Leader (AWS AI)

• Focus: AWS-based AI platform initiatives (governance, delivery, operational readiness)

Description

Lead end-to-end delivery and governance of AWS AI platform initiatives, coordinating complex cross-functional work across AWS cloud foundations, AI platform capabilities, security, data, and engineering. Establish governed, scalable, and reusable AWS AI services aligned with enterprise architecture and security, regulatory, and operational requirements. Translate strategic AI and cloud ambitions into executable programmes, manage dependencies and risks, and provide clear reporting to senior stakeholders.

Responsibilities

• Lead end-to-end delivery of AWS AI platform initiatives, from scope definition and planning through implementation, operational readiness, and handover

• Establish and maintain delivery plans covering milestones, dependencies, resources, financials, risks, and expected outcomes

• Coordinate delivery across cloud engineering, architecture, security, identity and access management, network, data, platform engineering, and business teams

• Drive evolution of AWS cloud foundations for scalable AI adoption (landing-zone capabilities, deployment pipelines, runtime environments, connectivity, platform resilience)

• Enable reusable AWS AI services and platform components for multiple AI use cases and teams

• Ensure alignment between business needs, AI use cases, platform capabilities, enterprise architecture, and technology roadmaps

• Facilitate governance and approval processes aligned with internal policies, regulatory requirements, and the delivery framework

• Establish decision-making forums, delivery standards, operating models, and reporting practices

• Proactively manage delivery risks, issues, and cross-domain dependencies; escalate when required

• Drive operational readiness, including support models, service ownership, resilience, security, cost management, and transition to operations

• Provide concise, decision-oriented updates to senior stakeholders on delivery status, risks, financials, and required actions

• Promote a delivery culture based on ownership, transparency, collaboration, and continuous improvement

Requirements

• Proven track record leading complex technology programmes in AWS Cloud environments

• Strong experience in AWS platform governance, cloud operating models, and landing-zone implementation

• Ability to scope, drive, and govern AWS AI platform initiatives providing reusable capabilities for scalable AI adoption

• Experience delivering AWS-native AI, machine learning, and data services

• Strong understanding of AI enablement platforms, including generative AI, large language models, agentic/orchestration frameworks, and model lifecycle management

• Experience coordinating delivery across architecture, cloud engineering, security, identity and access management, network, data, and platform teams

• Ability to translate AI and AWS platform roadmaps into executable programmes, milestones, and delivery plans

• Strong understanding of platform-oriented delivery (shared services, reusable components, automated onboarding, self-service capabilities)

• Experience establishing governance frameworks, delivery standards, and operating models for large-scale cloud transformations

• Understanding of cloud security, resilience, scalability, operational excellence, and cost-management principles

• Very good stakeholder-management skills, including engaging senior leaders and facilitating decisions

• Very good financial, resource, risk, and dependency-management skills

• Advanced analytical skills and attention to detail

• Advanced presentation and reporting skills (PowerPoint and Excel)

• Excellent communication skills in English (spoken and written)

• Proactive, pragmatic, solution-oriented attitude

Benefits

• Collaboration, ownership, and a growth-focused culture

• Career growth and development opportunities

• Hybrid working model

• Diversity and inclusion commitment