Senior Delivery Manager (AI-Driven Delivery)

We're looking for a Senior Delivery Manager to bring emerging trends in GenAI, Data, and Cloud into how we deliver for our Fortune Global 500 clients — not just what we deliver, but how the delivery itself is run.

You use AI as a delivery instrument: to forecast risk, evaluate team productivity, accelerate reporting, and sharpen decision-making. If you don't yet have deep AI delivery experience, you make up for it with strong hands-on technical depth and a clear appetite to lead AI-native delivery. If a constantly changing environment doesn't stop you from exceeding stakeholder and team expectations, and you can scale both products and teams across 50, 100, 200+ people, you're the leader we need.

Responsibilities

• Lead projects from kick-off through go-live and post-production, aligning stakeholders around clearly defined success criteria
• Own the delivery process end to end: requirements, scope, risk, quality, and budget
• Apply GenAI across the delivery lifecycle — productivity evaluation, risk detection, status reporting, and data-driven decisions
• Set and enforce product quality benchmarks, engaging the team to meet them
• Facilitate UAT and production deployments; manage releases and environments
• Prepare the WBS, resource plans, and delivery roadmap
• Act as the primary stakeholder contact, communicating status, risk, and progress with data, not opinions
• Interface with clients daily — demos, expectation management, and upskilling engineers on AI-augmented ways of working
• Establish governance models, run Agile ceremonies, and define escalation, change, and risk-management procedures
• Foster a collaborative environment; mentor, coach, and resolve people-management issues
• Implement organizational best practices and embed AI tooling into team workflows

Requirements

• 7+ years leading teams and projects, with at least five successful commercial enterprise deliveries
• Confidence to lead 50+ people, including direct people management
• Hands-on use of GenAI for productivity evaluation, delivery insight, and decision-making — or strong technical depth (see below) plus a track record of adopting new tooling fast
• Production experience delivering Digital, Data, or Cloud projects
• Command of the full product lifecycle, from pre-sales to post-production support
• Background setting up Dev, QA, and BA processes on projects
• Solid grasp of Agile, SAFe, and Kanban
• Emotional intelligence, strong analytical and problem-solving skills, and cultural awareness
• Fluent English
• Prior hands-on engineering experience (development, architecture, or platform)
• Comfort reasoning about system architecture, environment landscapes, sizing, and delivery techniques