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
- Ability to challenge technical estimates and trade-offs credibly with engineering teams
Nice to have
- Experience embedding AI/GenAI tooling into delivery or SDLC workflows
- Familiarity with DORA/flow metrics and data-driven delivery governance
