AI-Driven Delivery Lead for Enterprise Programs

Amazon Web Services (AWS)

Denver (CO)

Hybrid

USD 154,000 - 208,000

Full time

11 hours ago

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Job summary

Amazon Web Services, Inc. is seeking a Senior Engagement Manager to lead the delivery of large, complex programs within ProServe.

You will orchestrate 50+ person teams across AWS builders, partners, and customers to drive AI, data, and enterprise modernization outcomes. You will shape program direction, manage risks and interdependencies, and translate delivery progress into executive‑level ROI narratives, with a focus on AI‑DLC and responsible AI guardrails.

Qualifications

5+ years of cloud computing experience.
Bachelor’s degree in STEM field.
2+ years leading multiple Agile teams concurrently or at scale.
5+ years of leading and delivering enterprise‑level IT engagements.
Experience in project management of technical programs.

Responsibilities

Build and nurture trusted executive relationships (VP+), delivering strategic counsel on program direction, health, risks, and trade‑offs to inform executive decisions.
Proactively manage interdependencies, mitigate risks, and drive accountability for program outcomes in ambiguous, fast‑changing environments.
Orchestrate across customer lines of business, IT, and partner teams simultaneously, aligning these stakeholders on priorities, timelines, and definitions of success, and escalating blockers where necessary for resolution.
Define and track measurable customer business outcomes (e.g., time‑to‑market acceleration) as the north star for program success, translating technical delivery progress into executive‑ready value narratives that demonstrate ROI and inform strategic decisions.
Own the program financial health, including forecasting, revenue recognition, commercial management, change request negotiation, and scope management for fixed‑price, milestone‑based delivery constructs.
Influence human builder and agent builder teams effectively, establishing clear operating models and responsible AI guardrails as delivery increasingly incorporates AI‑augmented development workflows and agentic automation.
Drive adoption of AI‑DLC (AI‑Driven Development Life Cycle) methodologies across delivery programs, adapting delivery models and team structures for accelerated scale and pace, establishing outcomes‑based governance frameworks for AI‑native builds, and steering multi‑agent systems at scale to drive delivery productivity across the program.
Establish and enforce governance frameworks for agentic AI in delivery — including observability, cost controls, human‑in‑the‑loop checkpoints, and compliance guardrails — ensuring AI‑augmented workflows remain auditable, secure, and aligned with customer regulatory requirements (e.g., HIPAA, GxP) where applicable.
Proactively surface ideas on how ProServe and other AWS teams can innovate to help our customers achieve their goals at a faster pace and larger scale.