Senior Delivery Manager / Delivery Lead

We are looking for a delivery leader to own the end-to-end execution of our AI & Data engagements for large enterprise clients — Fortune 500 and Fortune 100 organisations across industries. These are high-stakes transformation programs where the work spans agentic AI, generative AI, and modern data platforms. The role flexes by program shape. At peak, you may run a single large, multi-POD program with a sizeable embedded team. At other times you will run a portfolio of two to three smaller engagements in parallel, typically five to eight people each. We expect you to be equally comfortable orchestrating a large team through governance and cadence, and staying hands-on across several smaller teams without dropping a thread. You are accountable for delivering to plan, keeping teams efficient and well-utilised, protecting delivery quality, and sustaining client confidence on programs that are watched closely by senior enterprise stakeholders. What makes this role different: these are agentic and GenAI builds, not deterministic IT projects. “Done” is defined by evaluations, guardrails, and human-in-the-loop validation rather than a fixed spec. We need a delivery leader who understands that reality in their bones — who can plan around non-determinism, set honest expectations with clients, and recognise the difference between what is genuinely production-ready and what is still aspirational.

Key responsibilities: Delivery execution & governance Own end-to-end delivery of one large program or 2–3 parallel engagements against committed scope, timeline, and quality. Run the delivery rhythm: planning, sprint cadence, status reporting, risk and dependency management, and escalation discipline. Keep delivery on plan; flag scope creep, slippage, and risk early and credibly. Agentic & GenAI delivery leadership Lead delivery of agentic and GenAI solutions, applying the right rigour to non-deterministic systems — evaluations, guardrails, model/version drift, and human-in-the-loop gating. Set realistic, honest expectations with clients on what agentic systems can and cannot do today. Partner with the AI Labs and POD teams to move solutions from pilot to production reliably. Team & POD leadership Lead and coach POD leads, Forward Deployed Engineers, and engineering teams; set standards and unblock the team. Manage staffing, ramp-up, and clean resource movement across engagements as priorities shift. Be the most senior delivery presence in the room — technically credible enough that the team respects your judgement. Client & stakeholder management Be the trusted delivery point of contact for senior client stakeholders, including CIO-, VP-, and director-level. Translate between client objectives and technical reality; protect the relationship while holding firm on scope and quality. Navigate a multi-vendor environment and keep the engagement positioned as a confident, neutral advisor. Delivery health & efficiency Keep teams efficient and right-sized; manage utilisation and cost discipline within the agreed staffing envelope. Surface commercial risks (scope creep, change requests, staffing pressure) early to the Practice Head.

10+ years total experience, with 5+ years in delivery leadership inside a services or consulting model. Demonstrated track record running both a large, multi-team program and parallel engagements — so the flex between the two modes is proven, not aspirational. Genuine, hands-on understanding of agentic and GenAI delivery: evaluations, guardrails, human-in-the-loop, and the realities of shipping non-deterministic systems. Strong overall technical depth — these are complex, production-grade agentic AI applications, and the delivery lead must be able to engage credibly on architecture, integration, and engineering trade-offs, not just process. Familiarity with common multi-agent frameworks and orchestration patterns (e.g. LangGraph, AutoGen, CrewAI, Semantic Kernel) and the major cloud AI & data stacks (Azure, AWS, GCP). Credible data-platform delivery experience — having shipped a real data foundation (e.g. lakehouse / Fabric / Databricks / Snowflake or equivalent), not just consumed one. Solid understanding of business processes and how AI solutions map to real business outcomes — able to connect what the team builds to the value the client is after. Track record delivering for large enterprise clients (Fortune 500 / Fortune 100), with awareness of enterprise security, compliance, and data governance expectations at that scale. Strong senior-stakeholder presence and the ability to say no credibly when scope drifts. Player-coach posture: senior enough to own a portfolio, hands-on enough to earn the team’s technical respect.

Nice-to-have: Delivery experience across multiple industries (high-tech, retail, manufacturing, financial services, healthcare). Relevant certifications (PMP, SAFe/Agile, cloud or AI platform certifications). Exposure to a POD-based, Forward-Deployed-Engineer delivery model. Comfort with global clients and time zones, and periodic travel.