AI Integration Leader, MEA-Tr, Operations Integration & AI Transformation , MEA-Tr - Dubai | Amazon Job

Job Description

Amazon's WW Operations AI portfolio is sized at **$1B over 3YF** across NA, EU, and International Operations. MEATR (Middle East, Africa, Turkey, and Rest of World) is at a critical inflection point — transitioning from fragmented AI experimentation to a structured, P&L-accountable AI transformation program.

We are looking for a **technically deep, operationally sharp Program Manager** to lead a team of 15+ BIEs and drive the end-to-end execution of our AI integration roadmap across 5+ countries. This is not a strategy-only role — you will own the build, deployment, measurement, and scaling of AI solutions that deliver traceable dollar savings to the P&L.

Key job responsibilities
- Own the execution of the **MEATR AI Transformation Roadmap** from Foundation through Scale, delivering against quarterly milestones and gated investment reviews

- Drive **3–5 AI pilot programs per phase** across priority countries, scaling successful pilots to production within 12 months

- Stand up and operate the **three-tier governance cadence**: weekly country standups, monthly program reviews, quarterly steering committee inputs

- Build and maintain the **KPI tracking dashboard** — ensuring all initiatives are instrumented, measured, and attributed to P&L


### Technical Leadership & Architecture

- Lead a team of **15+ BIEs** in designing and deploying AI/ML solutions across supply chain, middle mile, and last mile operations

- Own technical decisions on **data pipelines, API integrations, model selection, and platform architecture** — this role requires hands-on technical fluency, not just program oversight

- Drive adoption of **centralized tool registry and governance platforms**, ensuring tool registration, reuse tracking, and compliance

- Architect solutions aligned to **6 core operational pillars**: Safety, Cost, Speed, Quality, Vendor Experience, Employee Experience

- Evaluate and deploy **business review automation tools** and reporting platforms across MEATR countries


### Measurement & Financial Accountability

- Implement the **three-tier financial validation chain**: self-reported → Finance verification → regional Finance sign-off

- Own the **AI Fluency Index** deployment across MEATR — tracking 5 dimensions: Proficiency, Foundation Training, Usage, Personal Automation, Responsible AI

- Ensure every AI initiative demonstrates **hard savings** or **efficiency savings** — no vanity metrics

- Deliver cumulative **finance-validated P&L savings** within 12 months of program launch


### Workforce Enablement & Scaling

- Design and execute the **AI readiness scorecard** (individual + organizational) across all MEATR countries

- Build the **AI Champions network** — targeting 30% of managers as AI Builders and 10% of Builders as AI Practitioners

- Establish country-level **AI Enablement programs** with structured onboarding curricula, office hours, and adoption tracking

- Drive **AI tool adoption** to 95% weekly active usage among managers


### Cross-Regional Coordination

- Serve as the **MEATR representative** in the global AI consortium — coordinating with regional pillar leads across unified workstreams

- Represent MEATR in global forums including **quarterly business reviews**, AI strategy summits, and pillar working groups

- Ensure MEATR execution adheres to **global standards** (intake fields, governance scoring, finance validation gates, standardized pillar metrics)

Basic Qualifications:

- Bachelor's degree or equivalent
- Experience managing large technical programs, particularly at high growth startups or large enterprises
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

Preferred Qualifications:

- Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent, or Doctorate/PhD or equivalent and 10+ years of scientists or machine learning engineers management experience

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