Sr Site Leader, Amazon GenAI Data Serv Ops, AGI-DS Ops

Amazon is seeking a Senior Site Leader to lead our Amazon General Intelligence Data Services operations in Costa Rica. This is a high-impact leadership role responsible for site strategy, operations delivery, and team development across a large-scale, high-performing organization. The successful candidate will drive productivity, efficiency, and quality of data services that power Amazon’s most innovative Gen AI and ML products—most notably Nova, and Alexa+.

Key job responsibilities
- Set and drive the overall site strategy, ensuring effective coordination, service delivery, and operational performance.
- Define team vision and culture, manage individual and team performance goals, and ensure adherence to service levels and schedules to support our Scientists and Customers
- Partner cross-functionally to build input-focused operational plans that align with key business measures.
- Foster a culture of accountability, transparency, and collaboration, with a focus on root-cause problem-solving.
- Advocate for system and process improvements that benefit product teams, stakeholders, and operations.
- Implement bar-raising hiring and development programs, and build clear career paths for site team members.
- Inspire innovation on the front lines, encouraging creative problem solving, ownership, and calculated risk-taking.
- Establish closed-loop feedback mechanisms that empower Data Associates to suggest and influence process improvements.
- Promote a coaching culture, offering both formal and informal development opportunities across the organization.
- Champion diversity and inclusion, ensuring a respectful, responsive, and supportive work environment.
- Deliver continuous improvement across operations, quality, productivity, cost, customer experience, and people metrics.
- Build strong partnerships with internal and external stakeholders to solve pain points and improve the DA experience.
- Drive employee engagement and retention, measured by improvements in attrition and survey results.

About the team
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI Data Services team is part of Alexa Machine Learning organization that provides speech recognition capabilities for a variety of Amazon products and searches, most visibly, the recently launched Amazon Echo product. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models.

Basic Qualifications

- MSc in Engineering, Management, or similar fields.
- 10+ years of operations (manufacturing, logistics, services) and people leadership experience, including 3+ years in a senior management role within fast-paced, customer-obsessed environments.
- Proven ability to scale large teams while driving high performance, engagement, and operational excellence.
- Strong strategic planning and execution skills, with experience owning cost centers, leading cross-functional initiatives, and driving process improvements.
- Demonstrated ability to hire, develop, and retain top talent, build succession plans, and foster a culture of accountability and continuous improvement.
- Data-driven decision-maker with excellent communication skills, sound judgment, and a passion for innovation, customer focus, and high standards.

Preferred Qualifications

- MBA or Master's degree in a relevant field.
- Familiarity machine learning.
- Ability to deal with ambiguity and adapt to change quickly.
- Lean Six Sigma Black Belt certified

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.