Artificial Intelligence Group Manager, Global Ops

Basic Qualifications:
According to Amazon Temporary Role Policy: Acting roles are restricted to applicants from the same organization (GO AI).

Amazon is a multi-national technology company and being proficient in English is a required qualification. CVs must be submitted in English as our recruitment team works in several jurisdictions.
- University bachelor's degree in process or concluded in any field.
- 18+ months of team management experience in Fulfillment Center machine learning activities; leading teams of at least 20 individuals.
- 3+ years of experience as Front-line Manager/Lead/Supervisor in corporate environments; leading teams of at least 20 individuals.
- 1+ year(s) of experience in internal and external customer and stakeholder management.
- Proficient in MS Office tools knowledge.
- C1 English proficiency (advanced).

Job summary

Global Ops Artificial Intelligence (GO AI) currently handles remote resolution of technologies that employ machine learning. Our strategy is to employ a human-as-sensor model and allow humans to perform just those portions of a task that require higher order cognitive ability.

GO AI collaborates with different groups and initiatives within amazon to assess and review different internal operation procedures. Our organization uses high technology to lend service, and make sure the accuracy within our processes is kept at a high bar, and reduce defects within Amazon’s operations. GO AI is the spear that pushes through new initiatives aiming to keep operational excellence within Amazon.

GO AI Group Manager

The number one priority for this role is to ensure that associates are supported to deliver quality and efficiency toward the machine learning annotation. The role will require you to ensure your front line manager priorities remain focused on supporting their associates. To enable front line managers to focus on supporting their people, you will oversee the operational delivery of the teams you lead.

Key job responsibilities

Job Description Responsibilities include, but are not limited to:

- Direct supervisory responsibility of a team of 120 to 140 members and will be managing associates and frontline managers.
- Lead a core group of high achieving shift managers and associates to maximize their team’s output and ability to meet exacting targets within a very fast-paced/time-critical and demanding environment.
- Provide individual coaching feedback sessions, and weekly one-on-ones that focus on improving customer satisfaction.
- Manage and drive staffing plans, cost analysis, schedules, quality initiatives, process change initiatives, projects and other Change/ Kaizen initiatives as required.
- People management i.e. appraisal, training and mentoring talent to grow within organization & control attrition
- Monitoring real time service levels and schedule adherence, and holding the team accountable responsible for meeting and exceeding performance targets for the team
- Nurture a culture within the team that consistently demonstrates alignment with leadership principles; visibly ties department decisions to leadership principles and tenets.
- Ability to manage external and internal stakeholders

This is NOT a virtual position. Due to the current situation caused by COVID-19, if selected for this role, all necessary equipment will be sent for you to work from home. However, once our company provides clearance, you will be required to continue working from our SJO16 building, located in the America Free Zone (AFZ), Cariari, Heredia.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Preferred Qualifications:

- Working experience leading, coaching, and developing front-line managers.
- Master's degree in process or concluded in a related Business Administration, Industrial Engineering industry.
- Experience with data mining tools such as: SQL, SAS, SPSS, R.
- Lean Six Sigma Green/Black belt certified
- PMP certified.