Amazon
AI Integration Leader, MEA-Tr, Operations Integration & AI Transformation , MEA-Tr
Dubai, ARE
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- Seniority
- Mid level
- Country
- AE
- Work mode
- On-site / unstated
- First seen by hirly
- 28 Sept 2026
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the posting
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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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