The AI Delivery Lead is accountable for the end-to-end lifecycle, delivery, and business value of AI-powered projects and solutions. This role bridges business and technology, ensuring that Machine Learning (ML), Generative AI (GenAI), and Agentic AI solutions are successfully developed, deployed, operated, and continuously improved to meet business objectives.

The AI Delivery Lead leads cross-functional project teams, manages project budgets and financials, prioritizes delivery backlogs, manages project execution and engages stakeholders across business and IT.

While not a hands-on developer, the role requires sufficient technical expertise in AI/ML technologies to effectively guide backlog planning, manage scope, assess risks, drive timely delivery, clarify requirements and run business process analysis with stakeholders.

This is a customer facing role that is about more than project management; it actively encompasses engaging stakeholders to understand use cases and business needs and liaising with our AI experts to turn business understanding into project proposals for impactful AI solutions.

Project & Delivery Management

• Manage the execution of AI projects, ensuring delivery on scope, timeline, budget, and quality objectives.
• Lead multidisciplinary teams including data scientists, AI engineers, ML engineers, MLOps specialists, and business analysts.
• Coordinate internal teams, external providers, and consulting partners.
• Drive agile delivery practices and oversee planning, sprint reviews, release management, and continuous improvement.
• Manage risks, dependencies, escalations, and issue resolution.
• Ensure AI services adhere to organizational security, compliance, privacy, and governance requirements.
• Work closely with AI engineers, data scientists, architects, and business stakeholders to refine requirements.
• Define and maintain solution features, user stories, and acceptance criteria.
• Build business cases for AI investments and track realization of expected benefits.

Stakeholder Management

• Translate business requirements into actionable technical deliverables.
• Build strong relationships with senior leaders, process owners, and operational teams.
• Communicate service status, roadmap progress, risks, and value realization to stakeholders.

Process Improvement & Transformation

• Analyze existing business processes and identify opportunities for efficiency, automation, and optimization.
• Design future-state processes and support business transformation initiatives.
• Identify operational challenges, bottlenecks, and risks and propose solutions.
• Establish and document process flows, business rules, and operating procedures.