Delivery Lead

Delivery Lead

Remote in United States of America: Orlando, United States of America: Dallas

Delivery Management.AI and 3 others

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The Delivery Lead is responsible for one value stream, which may consist of 1-3 offshore development pods. The team delivers the AI-native way: spec-driven, gated, with the AI factory. Keeping it that way is part of the job.

Req.#1123830910

Responsibilities

• Estimate each approved project together with the POs, the lead developer and the architects
• Turn the estimate into a plan: milestones, sprints, pod capacity and staffing against the backlog having in mind capacity measured in AI Complexity Points
• Map the dependencies up front, across teams, across value streams and across vendors (including other vendors), with an owner and a date on each
• Execute against the plan. Track progress and throughput, and re-plan when scope, capacity or a dependency moves
• Raise risks and slippage early, with the cause and the decision needed
• Report throughput in complexity points, cycle time, defect escape and rework rate on the account cadence
• Own the stream's part of the complexity-point baseline, and move pods from T&M to committed output
• Move each pod through the AI factory ramp when the team is new
• Track AI adoption and productivity per pod and per person
• Track AI cost per pod, per person and per ticket, next to the cost of the pod itself
• Run a continuous improvement program for the stream. Find where work is slow or expensive: rework, review queues, waiting on dependencies, model and prompt choices, runs that cost more than the ticket is worth
• Set targets for cost per complexity point and cost per unit of work, and bring them down over time
• Pass the factory improvements on to the pods and measure the effect
• Keep the savings visible and tie them to EPAM margin on the output-based model

Requirements

• Experience leading delivery of multi-team software programs with external vendors, in a client-facing role
• Track record of delivering to a plan and to commercial commitments
• Hands-on with AI coding tools, with first-hand experience of AI-native ways of working in a team
• Comfortable with data: delivery, cost and productivity metrics
• Strong communication with senior client stakeholders, and the judgment to escalate early
• Insurance or financial services background is a plus