AI Integration Leader, MEA-Tr, Operations Integration & AI Transformation , MEA-Tr

AI in this role

Lead the MEATR operations AI transformation program, managing a team of BIEs to scale AI supply chain solutions.

pythonsqlawsml-pipelines

ai-safety

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.

How we rate this

AI Integration Leader, MEA-Tr, Operations Integration & AI Transformation , MEA-Tr at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI SafetyPythonSQLAWSML Pipelines

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
Walk me through how you've used Python in your day-to-day work.
What are the limits of SQL that you've run into, and how did you work around them?
What's a project where you used AWS hands-on?
Walk me through how you've used ML Pipelines in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Safety, Python, SQL, AWS, and ML Pipelines. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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