Accellor - Senior Delivery Manager - AI & Data Engagement

About the role: 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. 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. What we're looking for: - 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. - 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. Tech Stack & Experience: - 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). - 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.