Description
This role leads the localization technology strategy and platform ecosystem supporting Apple's worldwide Retail and People organizations. You will own the architecture, implementation, and continuous improvement of scalable localization workflows — integrating translation management, machine translation, AI services, and enterprise content systems. Working across a broad set of cross-functional partners, you will drive technology modernization, operational excellence, and global readiness across a complex, high-impact and dynamic content landscape.
Minimum Qualifications
15+ years of progressive experience in localization technology, language engineering, or enterprise content platforms within global consumer technology or high-profile consumer brands, with 10+ years in a people leadership role managing and mentoring teams Demonstrated track record of leading multi-million dollar enterprise localization platform implementations end-to-end — including TMS selection, RFP processes, vendor management, and global deployment — with hands-on experience across TMS, CAT tools, MT/AI-enabled workflows, APIs, and enterprise SaaS platforms Proven experience connecting CMS platforms (e.g., Adobe Experience Manager) to translation management systems and MT providers through APIs and orchestration layers, with a history of designing scalable, automated content workflows that reduce manual handling Verifiable history of delivering localization, translation management, or enterprise-level tools — evidenced by named products, platforms, or tools delivered — including authoring business requirements, metrics, and user stories for engineering and UI/UX teams Experience leading large cross-functional programs partnering with engineering, product, legal, procurement, and security, with a track record of guiding complex, multi-phase technology projects across the full development lifecycle Bachelor's degree in Computer Science, Engineering, Information Systems, Linguistics, Localization, or a related technical discipline
Preferred Qualifications
Master's degree in Computer Science, Engineering, Information Systems, Localization, or related field. Experience managing global vendors and associated budgets Passion for innovation and emerging AI technologies that transform global content delivery, localization quality, and operational efficiency. Language skills in one or more languages other than English, with a deep understanding of the linguistic challenges posed by different language families Ability to navigate and incorporate cultural nuances into machine translation models, ensuring translations resonate authentically with diverse global audiences
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