Manager II, ML Data Operations, Global Operations Artificial Intelligence, Amazon Robotics

As a Manager II, ML Data Operations, you will lead 6-8 Team Managers and oversee large-scale ML data annotation and operational delivery teams across remote and work-from-office environments. This role Basic qualifications: - Bachelor's degree in any field of study - Experience managing large teams of 150 people or more - Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions - Experience gathering and analyzing large amounts of data and delivering continuous business improvements - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - 8+ years of overall experience with at least 4–5 years of people management experience in Operations, AI/ML support Operations, Annotation services, or large-scale operational environments. - Proven experience driving operational KPIs including productivity, quality, SLA adherence, compliance, and operational / annotation experience metrics. - Experience in workforce management, shift planning, escalation management, and business continuity planning. - Ability to lead remote/hybrid multicultural teams in fast-paced, ambiguous settings with flexibility for rotational shifts and business-critical demands. Preferred: - Bachelor's degree in computer science, engineering, mathematics or equivalent, or Master's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent - Experience in AI/ML operations, data annotation, robotics operations, or human-in-the-loop workflows. - Exposure to Lean, Six Sigma, operational excellence frameworks, or process automation initiatives. - Working knowledge of SQL, reporting tools, automation workflows, or operational analytics. - Experience managing globally distributed operations teams and multiple business programs. - Strong understanding of machine learning lifecycle support operations and annotation quality frameworks. 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.