AIML Data Operations, Senior Vendor Manager

Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data—and behind that foundation are the vendor partnerships and production operations that make it possible 're looking for a Senior Manager to own the end-to-end vendor lifecycle, from sourcing and contracting through quality, delivery, and compliance, while leading the team that serves as the critical link between Apple's annotation needs and our external vendor workforce.

You will develop your team's capabilities in vendor management, production operations, and quality oversight while establishing the frameworks and processes that enable consistent, scalable execution. Imagine leading the team that keeps Apple's AI data engine running, ensuring our machine learning models are trained with the highest quality data produced by a global workforce operating at peak efficiency.

As Senior Vendor Manager you will oversee and lead a high-impact team supporting Data Annotations. You will guide a group of Demand Planners, Vendor Engagement Specialists, and Crowd Managers who collaborate directly with engineering teams and data requestors to deploy scalable data pipelines through our global vendor workforce. Your team manages the full production lifecycle—from relationship management,, project requirement definition, vendor selection,, SOW creation, and onboarding through delivery tracking, quality assurance, performance monitoring, issue resolution, and invoice validation.

This role requires hands-on support, strategic leadership, and the ability to drive deeper efficiency, insights, and evaluations. You will remain hands-on when complex vendor challenges or production escalations require your direct involvement. Your work will directly contribute to the success of the next generation of Apple products and features.

10+ years of experience managing and developing teams in operational or vendor-facing roles5+ years of experience in program/project management, production operations, or vendor management in data operations or related fieldsBS degree required

Strong understanding of production operations including capacity planning, quality assurance frameworks, and delivery management

Excellent written and verbal communication skills, with the ability to communicate complex concepts to both technical and non-technical audiences

Proven ability to manage multiple concurrent programs with competing priorities in a fast-paced environment

Self-motivated and proactive leader who thrives in ambiguous environments and is able to establish diligent processes for global teams

Demonstrated ability to navigate ambiguity and rapidly shifting priorities, crafting creative, pragmatic near-term vendor support solutions that keep programs on track while maintaining focus on longer-term vendor strategy and scalable operational goals

Experience leading a dispersed global team

Annotation operations, data operations, or crowd-sourcing programs at scale

Vendor/supplier management including performance management and relationship development

Budget management and financial forecasting for vendor-delivered work

Data quality issue tracking and resolution (impact analysis, root cause analysis, data analysis)
Background managing geographically distributed teams or vendor work forces

Understanding of machine learning concepts, data annotation methodologies, and quality assurance processes

Advanced degree in a relevant field