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AIML Data Operations, Senior Vendor Manager

Apple
Posted 8 days ago, valid for 21 days
Location

Austin, TX, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking a Senior Vendor Manager with over 10 years of experience in operational or vendor-facing roles and at least 5 years in program or project management related to data operations.
  • This role involves overseeing the vendor lifecycle, leading a team responsible for data annotations, and ensuring the quality and efficiency of Apple's AI data engine.
  • The Senior Vendor Manager will manage the production lifecycle, including vendor selection, onboarding, quality assurance, and performance monitoring, while also providing hands-on support for complex challenges.
  • Candidates must possess a strong understanding of production operations, excellent communication skills, and the ability to manage multiple programs in a fast-paced environment.
  • While the salary is not explicitly stated, the position requires a BS degree and emphasizes the importance of leadership in navigating ambiguity and achieving scalable operational goals.
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 at scale. We'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.

Description


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.

Minimum Qualifications


10+ years of experience managing and developing teams in operational or vendor-facing roles 5+ years of experience in program/project management, production operations, or vendor management in data operations or related fields BS 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

Preferred Qualifications


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 workforces Understanding of machine learning concepts, data annotation methodologies, and quality assurance processes Advanced degree in a relevant field



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