
WW Business Operations Analytics Manager
Required skills
- GenAI performance measurement
- strategic analysis
- business narrative
- leadership reporting
- automation effectiveness
- containment
- resolution quality
- customer experience
- compliance
- product
Nice to have
- automated customer interaction systems
- IVR
- virtual assistants
- self-service channels
- text analytics
- NLP
Role summary
Apple is seeking an experienced analytics leader to manage its Worldwide Business Operations Analytics team within the Retail Customer Care (RCC) organization. This role will oversee GenAI performance measurement, strategic analysis for leadership, and the consolidated worldwide business narrative. The ideal candidate will have strong people leadership skills, analytical rigor, and the ability to translate complex data into clear, actionable recommendations for senior leadership. Experience with analytics tools like SQL, Python, Tableau, and Snowflake is required, along with a background in defining performance metrics and measurement frameworks, especially for new technologies. Preferred qualifications include experience with automated customer interaction systems, customer experience analytics, and Generative AI techniques.
Description
This role leads the Worldwide Analytics team within RCC Business Operations, owning three interconnected areas: GenAI performance measurement, strategic analysis for leadership, and the consolidated worldwide business narrative (quarterly reviews and executive reporting). As GenAI solutions scale across voice and chat channels - handling customer interactions for hardware purchases and post-sale service - this leader will define how we measure their effectiveness. This includes building frameworks to evaluate containment, resolution quality, customer experience, and compliance, and providing the independent, objective view that guides where automation expands and where Specialists remain essential. Beyond GenAI, this role drives strategic analysis and deep dives across product, operations, and strategy - providing the analytical rigor behind key leadership decisions and cross-functional initiatives. The role also oversees the AMR regional analytics function through a direct-reporting manager. This leader will collaborate cross-functionally with engineering, product, operations, Optimization, and Geo Field Leadership teams to ensure metric integrity, align on performance management frameworks, and enable data-driven decision-making for regional leaders. The role also contributes to the team's broader transformation - including modernizing our data foundation (strategy and oversight) and evolving how we deliver intelligence to the business. We are looking for someone who is technically grounded, strategically minded, and energized by building both the team and the capabilities needed for an AI-driven future.
Minimum Qualifications
3+ years of people management experience, including building, developing, and scaling analytics teams. 8+ years of professional experience in analytics, data science, operations, management consulting, corporate strategy, or equivalent - with demonstrated ability to translate business problems into analytical frameworks and measurable outcomes. Experience defining performance metrics and measurement frameworks - particularly for new programs, systems, or technologies where frameworks don't yet exist. Strong familiarity with analytics tools and languages (SQL, Python, Tableau, Snowflake) - sufficient to guide technical teams, evaluate work quality, and make sound architectural decisions. Effective communication and storytelling skills - ability to translate complex analysis into clear, actionable recommendations for senior leadership. Bachelor's degree in engineering, mathematics, statistics, analytics, or other quantitative field, or equivalent experience; master's degree a plus.
Preferred Qualifications
5+ years of people management, including experience managing managers or leading multi-level teams. Previous experience measuring the performance of automated customer interaction systems (e.g., IVR, virtual assistants, GenAI solutions, self-service channels). Experience in customer experience analytics, contact center operations, or customer interaction measurement at scale. Hands-on experience leveraging LLMs or Generative AI to improve analytical productivity, automate workflows, or perform advanced analytics. Experience with data science techniques such as text analytics, NLP, sentiment analysis, experimentation, or causal inference - either hands-on or leading teams that apply them. Track record of building cross-functional partnerships and influencing decisions at senior leadership levels without direct authority.
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