ICQA Area Manager , EU Quality

Amazon is hiring an ICQA Area Manager , EU Quality . Level rates it ; you can apply on Amazon.

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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 centre Inventory Control and Quality Assurance (ICQA) team. Our fulfilment centres sit at the heart of Amazon’s rapidly growing operations network: they are where we manage our fast-moving inventory. In each fulfilment centre, 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 centres 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.

· Lead and supervise a team of hourly associates in Inventory Control/Quality Assurance operations within the fulfilment centre:
· 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 analyse 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, or experience at Amazon
- Experience in people management
- Experience using data to drive root cause elimination and process improvement
- Experience in English-language communication skills, both written and verbal

Preferred qualifications

- Experience in stakeholder and communication management

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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

ICQA Area Manager , EU Quality at Amazon rates 37 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.

●●●● 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. Read the description and count the AI tools, models and workflows it names.