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Area Manager, Inventory Control and Quality Assurance (Saudi National)

Amazon is hiring an Area Manager, Inventory Control and Quality Assurance (Saudi National) in Riyadh, Saudi Arabia. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Do you aim to have a dynamic impact on the world?
Are you up for creating solutions and solving tomorrow’s problems today?
Then we have the opportunity for you!

We are looking to hire an ICQA Area Manager to be part of our fulfilment center Inventory Control and Quality Assurance (ICQA) team. Our fulfilment centers sit at the heart of Amazon’s rapidly growing operations network: they are where we manage our fast-moving inventory. In each fulfilment center, our teams stow deliveries, pick products, package them up and ship them out; each of these groups have played their part in taking us where we are today.

These fulfilment centers are fast-paced and high reward environments, where adherence to policies and procedures is key. We need the right type of leader to ensure that we deliver as reliably as ever to our customers, while making sure our teams deliver on customer obsession.

Key job responsibilities
- Lead and supervise a team of hourly associates in Inventory Control/Quality Assurance operations within the fulfilment center.
- Support safety programs and compliance to ensure a safe work environment for all associates.
- Coordinate inventory control maintenance and random counts in accordance with network count strategies, ensuring compliance and consistency with SOX.
- Measure quality, inventory integrity, and accuracy while providing proactive feedback to the operations management team.
- Conduct shift planning and forecasting, alongside assigning and directing work.
- Plan for and identify root causes of inventory deviation, via cause and effect analysis
- Support network-wide fulfilment & operations-focused quality initiatives.
- Review and analyze customer complaints and process defect data, followed by development of corresponding action plans to reduce future incidents.
- Drive process improvements and develop team members’ ability to keep pace with our rapid growth, while motivating others and reducing employee turnover.
- Appraise the performance of team members; developing, rewarding and coaching employees.

Basic qualifications

- Bachelor's degree or equivalent in a related field
- 3+ years of operational experience
- 1+ years of team management experience
- Experience using data and metrics to determine and drive improvements
- Experience in leading operational supporting teams in a fast pace environment

Preferred qualifications

- Knowledge of Excel at an advanced level
- Experience with Six Sigma tools and Lean techniques
- 2+ years of experience in inventory control, quality assurance or auditing in a high-volume fulfilment, distribution or retail environment
- Fluent in English and Arabic

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

Area Manager, Inventory Control and Quality Assurance (Saudi National) at Amazon rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

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

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