AIML Data Operations - Director, Business and Capacity Planning, Data Analytics
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Company-specific questions
- Have you previously worked at Apple?
About this role
Employer-provided description, formatted for easier reading.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically?
Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple’s ecosystem with the goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology.
The Data Operations Planning and Analytics team provides leadership in forecasting, capacity planning and optimization, annual planning, data products, metrics reporting, and modeling & experimentation.
The AIML Data Operations team is dedicated to technology, with a primary focus on enhancing the customer experience. The Director of Business and Capacity Planning and Data Analytics, is responsible for shaping the organization's business and capacity plans and seeing the organization more clearly through data.
Working closely with executive leadership, cross functional EPM’s and Engineering DRI’s, and business leaders, this role builds a high-performance culture.
The ideal candidate for this role is an experienced leader who loves working with people across technical and non-technical domains to solve problems and deliver results.
You will work with teams in finance, operations, engineering, and program management to forecast demand, develop capacity plans, and resulting HC plans and annual plans and partner in the execution of annotations projects that support teams across Apple’s ecosystem who are working on cutting-edge AI and machine learning technology.
Bachelors degree in Computer Science, Statistics, Mathematics, Economics or related field. 15+ years of experience in Forecasting, Planning, Data Analyst, or Data Science roles Proficiency with using large scale data analytics in service of solving complex business problems Understanding of Python or R, SQL, tools such as scikit-learn, and forecasting libraries.
Extensive experience building production-ready models for forecasting applications. Ability to condense complex concepts and analysis into clear and concise takeaways that drive action. Superb communication, story telling, and presentation skills with meticulous attention to detail.
Excellent in teamwork and relationship building. Self-directed, intellectually curious, and proactive. You thrive in an ambiguous and fast-paced environment.
Master's degree or relevant professional certifications in a related field.