Apple
WW Business Operations Analytics Manager
$184K–$320K
Cupertino, California · Manager · Full-time · Posted Aug 31, 2026
- Experience
- 3+ years of people management and 8+ years of relevant professional experience; preferred: 5+ years of people management.
- Education
- Bachelor's degree in engineering, mathematics, statistics, analytics, or other quantitative field, or equivalent experience; master's degree a plus.
About the job
Leads Apple Retail Customer Care’s worldwide analytics function, measuring GenAI performance and providing strategic analysis and executive business reporting.
What you'll do
- Define frameworks to assess GenAI containment, resolution quality, customer experience, and compliance across voice and chat.
- Lead and develop the analytics team, including the AMR Analytics manager, data scientists, and analysts.
- Drive strategic analysis, cross-functional performance measurement, and worldwide weekly and quarterly business reviews and reporting.
What they ask for
- 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.
- Experience defining performance metrics and measurement frameworks for new programs, systems, or technologies.
- Strong familiarity with SQL, Python, Tableau, and Snowflake, plus communication skills for presenting recommendations to senior leadership.
Nice to have
- 5+ years of people management, including managing managers or leading multi-level teams.
- Experience measuring automated customer interactions, customer experience analytics, contact center operations, or using LLMs/Generative AI and data science techniques.
Pay
$183,700 and $319,800 (base salary)
Tools
SQL, Python, Tableau, Snowflake, IVR, LLMs, Generative AI, NLP
AI focus
Measure GenAI solutions handling customer interactions across voice and chat, guiding decisions about automation; contribute to data foundations and self-service capabilities for AI automation. Preferred experience includes using LLMs or Generative AI to improve analytical productivity or automate workflows.
Model-written summary · the original posting is authoritative