AI Delivery Lead

Overview

As AI Delivery Lead at LGC, you steer AI and ML initiatives from concept to impact, guiding cross-functional delivery teams and aligning projects with business goals. You will manage timelines, budgets, and quality while collaborating with senior partners to set expectations and report outcomes. You’ll champion governance, ethical AI practices, and continuous improvement to maximise delivery efficiency. Join a high-impact team shaping AI-driven healthcare and diagnostics solutions with real-world influence.

Responsibilities

• Lead end-to-end delivery of AI/ML projects, ensuring on-time, on-budget, high-quality outcomes
• Mentor and direct delivery teams, fostering professional growth
• Develop and maintain project plans, risk registers, and delivery roadmaps using suitable methodologies
• Engage with senior collaborators and clients to clarify requirements and report progress
• Analyze performance metrics and drive continuous improvement in delivery
• Coordinate prioritisation, capacity planning, and team composition
• Identify and mitigate risks with contingency planning
• Advise on AI delivery governance and ethical implementation across the organisation
• Collaborate with technical teams to ensure architectures support business objectives
• Facilitate knowledge sharing and capability building within delivery functions

Key requirements

• Proven track record delivering AI/ML projects in corporate settings
• Experience with delivery frameworks (Agile, Waterfall, or hybrid)
• Strong people management and team leadership
• Excellent stakeholder management and collaboration skills
• Technical understanding of AI/ML concepts and implementation challenges
• Budget management, resource planning, and cost control experience
• Analytical problem-solving with attention to detail
• Risk identification, assessment, and mitigation capabilities

• cross-functional collaboration
• stakeholder management
• analytical thinking
• AI/ML concepts and tools
• delivery management methodologies
• budget and resource planning

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